juana gil, cáceres 2011

22
FORENSIC PHONETICS. THEMATIC BIBLIOGRAPHY. BIBLIOGRAFÍA TEMÁTICA DE FONÉTICA JUDICIAL Juana Gil, 2012 Esta bibliografía es el germen de un recurso electrónico puesto al servicio de todas aquellas personas interesadas en Fonética Judicial. Cualquier nueva contribución o corrección que pueden dirigir a [email protected] será muy bienvenida, así como la incorporación de nuevos títulos en otras lenguas distintas del inglés y del español, que, por razones obvias, son los dos idiomas en los que está escrita la mayoría de los trabajos citados. ÍNDICE: 1 Sobre “el efecto CSI”…………………………………………………………………………..1 2 Sobre las áreas de actuación de los expertos en fonética judicial (estudios de carácter general)……………………………………………………… 2 3 Sobre el LADO…………………………………………………………………………………3 4 Sobre la diferenciación de tareas y la especialización terminológica…………………………………………………………………………….4 5 Sobre las ruedas de reconocimiento de voz y la identificación por testigos…………………………………………………………………………………...4 6 Sobre los distintos métodos de análisis………………………………………………………...6 7 Sobre la técnica basada en las “huellas vocales”………………………………………………7 8 Sobre el rendimiento judicial comparado de los diferentes parámetros…………………………………………………………………….8 9 Sobre el rendimiento judicial de la estructura formántica…………………………………….9 10 Sobre el rendimiento judicial de la F0……………………………………………………….10 11 Sobre el rendimiento judicial del LTAS……...………………………………………………11 12 Sobre el rendimiento judicial de los rasgos temporales y de las pausas………………………………………………………………………………12 13 Sobre el rendimiento judicial de la cualidad de voz………………………………………...13 14 Sobre la admisibilidad y la ética de los peritajes y sobre la formulación de las conclusiones………………………………………………………...14 15 Sobre la prueba pericial de voz en la legislación española………………………………….16 16 Sobre la identificación de voces disimuladas (transformación)…………………………….16 17 Sobre la identificación de voces disimuladas (conversión)…………………………………18 18 Sobre el “efecto del teléfono” en la comparación de voces…………………………………18 19 Sobre los efectos del transcurso del tiempo: muestras de habla no contemporánea………………………………………………………………..20 20 Sobre los efectos en el habla de la intoxicación etílica……………………………………..20 1 Sobre el “efecto CSI”: 17 Cole, S. A. y Dioso-Villa, R. (2009). Investigating the “CSI effect” effect: Media and litigation crisis in criminal law. Stanford Law Review, 61(6), 1335-1374. 18 Georgette, L. F. (2010). The hung jury: Scholarly consensus on the value of the CSI Effect in the future of American justice. Intersect, 3(1), 1-20. 19 Lawson, T. F. (2009). Before the verdict and beyond the verdict: The CSI infection within modern criminal jury trials. Loyola University Chicago Law Journal, 41, 121-173. 20 Podlas, K. (2006). “The CSI Effect”: Exposing the media myth. Fordham Intellectual Property, Media & Entertainment Law Journal, 16, 430-465. 21 Podlas, K. (2009). The “CSI effect” and other forensic actions. Loyola of Los Angeles Entertainment Law Review, 27, 87-125.

Upload: doandan

Post on 10-Dec-2016

216 views

Category:

Documents


0 download

TRANSCRIPT

FORENSIC PHONETICS. THEMATIC BIBLIOGRAPHY.

BIBLIOGRAFÍA TEMÁTICA DE FONÉTICA JUDICIAL

Juana Gil, 2012

Esta bibliografía es el germen de un recurso electrónico puesto al servicio de todas aquellas

personas interesadas en Fonética Judicial. Cualquier nueva contribución o corrección –que

pueden dirigir a [email protected] será muy bienvenida, así como la incorporación de

nuevos títulos en otras lenguas distintas del inglés y del español, que, por razones obvias, son

los dos idiomas en los que está escrita la mayoría de los trabajos citados.

ÍNDICE:

1 Sobre “el efecto CSI”…………………………………………………………………………..1

2 Sobre las áreas de actuación de los expertos en fonética

judicial (estudios de carácter general)……………………………………………………… 2

3 Sobre el LADO…………………………………………………………………………………3

4 Sobre la diferenciación de tareas y la especialización

terminológica…………………………………………………………………………….4

5 Sobre las ruedas de reconocimiento de voz y la identificación

por testigos…………………………………………………………………………………...4

6 Sobre los distintos métodos de análisis………………………………………………………...6

7 Sobre la técnica basada en las “huellas vocales”………………………………………………7

8 Sobre el rendimiento judicial comparado de los

diferentes parámetros…………………………………………………………………….8

9 Sobre el rendimiento judicial de la estructura formántica…………………………………….9

10 Sobre el rendimiento judicial de la F0……………………………………………………….10

11 Sobre el rendimiento judicial del LTAS……...………………………………………………11

12 Sobre el rendimiento judicial de los rasgos temporales

y de las pausas………………………………………………………………………………12

13 Sobre el rendimiento judicial de la cualidad de voz………………………………………...13

14 Sobre la admisibilidad y la ética de los peritajes y sobre

la formulación de las conclusiones………………………………………………………...14

15 Sobre la prueba pericial de voz en la legislación española………………………………….16

16 Sobre la identificación de voces disimuladas (transformación)…………………………….16

17 Sobre la identificación de voces disimuladas (conversión)…………………………………18

18 Sobre el “efecto del teléfono” en la comparación de voces…………………………………18

19 Sobre los efectos del transcurso del tiempo: muestras

de habla no contemporánea………………………………………………………………..20

20 Sobre los efectos en el habla de la intoxicación etílica……………………………………..20

1 Sobre el “efecto CSI”:

17 Cole, S. A. y Dioso-Villa, R. (2009). Investigating the “CSI effect” effect: Media and litigation crisis

in criminal law. Stanford Law Review, 61(6), 1335-1374.

18 Georgette, L. F. (2010). The hung jury: Scholarly consensus on the value of the CSI Effect in the

future of American justice. Intersect, 3(1), 1-20.

19 Lawson, T. F. (2009). Before the verdict and beyond the verdict: The CSI infection within modern

criminal jury trials. Loyola University Chicago Law Journal, 41, 121-173.

20 Podlas, K. (2006). “The CSI Effect”: Exposing the media myth. Fordham Intellectual Property,

Media & Entertainment Law Journal, 16, 430-465.

21 Podlas, K. (2009). The “CSI effect” and other forensic actions. Loyola of Los Angeles Entertainment

Law Review, 27, 87-125.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

2

22 Robbers, M. (2008). Blinded by science: The social construction of reality in forensic television

shows and its effect on criminal jury trials. Criminal Justice Policy Review, 19, 84-102.

23 Schweitzer, N. J. y Saks, M. J. (2007). The CSI effect: Popular fiction about forensic science affects

the public’s expectations about real forensic science. Jurimetrics, 47, 357-364.

24 Shelton, D., Barak, G. y Kim, S. J. (2007). A study of juror expectations and demands concerning

scientific evidence: Does the “CSI Effect” exist? Vanderbilt Journal of Entertainment & Technology

Law, 9(2), 331-368.

25 Smith, S., Patry, M. y Stinson, V. (2007). But what is the CSI effect? How crime dramas influence

people’s beliefs about forensic evidence. The Canadian Journal of Police and Security Services,

5(3/4), 187-195.

26 Stinson, V., Patry, M. y Smith, S. (2007). The CSI effect: Reflections from police and forensic

investigators. The Canadian Journal of Police and Security Services, 5(3/4), 25-133.

27 Tyler, T. R. (2006). Viewing CSI and the threshold of guilt: Managing truth and justice in reality and

fiction. The Yale Law Journal, 115, 1050-1085.

28 Wise, J. (2011). Hollywood profiling: The impact of the CSI effect on the use of forensic science in

New South Wales. Comunicación presentada en la Expert Evidence Conference, National Judicial

College of Australia y Australian National University College of Law, Canberra.

2 Sobre las áreas de actuación de los expertos en fonética judicial (estudios de carácter

general)

29 Amino, K., Osanai, T., Kamada, T., Makinae, H. y Arai, T. (2012). Historical and procedural

overview of Forensic Speaker Recognition as a science. En A. Neustein y H. A. Patil (Eds.),

Forensic Speaker Recognition. Law Enforcement and Counter-Terrorism (pp. 3-20). Nueva York:

Springer.

30 Baldwin, J. y French, P. (1990). Forensic Phonetics. Londres: Pinter.

31 Bijhold, J., Ruifrok, A., Jessen, M., Geradts, Z., Ehrhardt, S. y Alberink, I. (2007). Forensic audio

and visual evidence 2004-2007: A review. Comunicación presentada en el 15th INTERPOL Forensic

Science Symposium. Lyon.

32 Broeders, A. P. A. (2001). Forensic speech and audio analysis. 1999-2001. A review. Comunicación

presentada en el 13th INTERPOL Forensic Science Symposium. Lyon.

33 Broeders, A. P. A. (2002). Forensic speech and audio analysis: The state of the art in 2000 A.D.

Acústica Forense. Revista Oficial de la Sociedad Española de Acústica Forense, 1, 33-42.

34 Butcher, A. (2002). Forensic Phonetics: Issues in speaker identification evidence. En Proceedings of

the Inaugural International Conference of the Institute of Forensic Studies: “Forensic Evidence:

Proof and Presentation”. Prato, Italia.

35 Campbell, J. P. (1997). Speaker recognition: A tutorial. Proceedings of the IEEE, 85(9), 1437-1462.

36 Cicres, J. (2011). Transcripció y autenticació de gravacions en contextos judicials. En A. M.

Fernández Planas (Ed.), Lingüística forense (pp. 25-31). Monográfico on line de la Revista de

Sociolingüística de la Universitat de Barcelona. Barcelona: Universidad de Barcelona. http://www.ub.edu/cusc/revista/lsc/hemeroteca/numero9/lsc_actual.htm

37 Eriksson, A. (2005). Tutorial on forensic speech science. Part I: Forensic phonetics. Comunicación

presentada en INTERSPEECH-2005. Eurospeech. Proceedings of the 9th European Conference on

Speech Communication and Technology. Lisboa.

38 Fernández Planas, A. Mª. (1998). Fonètica forense. L'anàlisi pericial de la veu com una aplicació de

la fonética. En M. A. Pradilla (Ed.), El món dels sons (pp. 153-166). Benicarló: Alambor.

39 Fernández Planas, A. Mª (Ed.). (2011). Lingüística Forense. Monográfico on line de Llengua,

Societat y Comunicació. Revista de Sociolingüística de la Universitat de Barcelona, 9. Barcelona:

Universidad de Barcelona.

http://www.ub.edu/cusc/revista/lsc/hemeroteca/numero9/lsc_actual.htm

40 French, P. (1994). An overview of forensic phonetics with particular reference to speaker

identification. Forensic Linguistics, 1(2), 169-181.

41 French, P. y Harrison, Ph. (2006). Investigative and evidential applications of forensic speech

science. En A. Heaton-Armstrong, E. Sepherd, G. Gudjonsson y D. Wolchover (Eds.), Witness

Testimony, Psychological, Investigative and Evidential Perspectives (pp. 247–62). Oxford: Oxford

University Press.

42 Gold, E. (2011). Forensic speaker comparison evidence: The international picture. Comunicación

presentada en el Congreso de la IAFPA 2011. Viena.

43 Hammarstrom, C. (1987). Voice identification. Australian Journal of Forensic Sciences, 19(3), 95-99.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

3

44 Hollien, H. (1990). The Acoustics of Crime. The New Science of Forensic Phonetics. Nueva York:

Plenum Publishing Corporation.

45 Hollien, H. (2002). Forensic Voice Identification. San Diego: Academic Press.

46 Kreiman, J. y Sidtis, D. (2011). Foundations of Voice Studies. Chichester: Wiley-Blackwell. (Cap. 7).

47 Künzel, H. J. (1998). Forensic speaker identification: A view from the crime lab. Comunicación

presentada en 8th COST 250 Workshop: Speaker Identification by Man and by Machine: Directions

for Forensic Applications. Ankara.

48 Künzel, H. J. (2004). Tasks in forensic speech and audio analysis: A tutorial. The Phonetician, 90, 9-

22.

49 Meuwly. D. (2000). Voice analysis. En J. Siegel, P. Saukko y G. Knupfer (Eds.), Encyclopedia of

Forensic Science (pp. 1413-1420). Londres: Academic Press.

50 Nolan, F. J. (1983). The Phonetic Bases of Speaker Recognition. Cambridge: Cambridge University

Press.

51 Nolan, F. (1991). Forensic Phonetics. Journal of Linguistics, 27, 483-493.

52 Nolan, F. J. (1994). Auditory and acoustic analysis in speaker recognition. En J. Gibbons (Ed.),

Language and the Law (pp. 326-345). Londres / NuevaYork: Longman,

53 Nolan, F. J. (1997). Speaker recognition and forensic phonetics. En W. J. Hardcastle y J. Laver

(Eds.), The Handbook of Phonetic Sciences (pp. 744-767). Oxford: Blackwell.

54 Olsson, J. (2004). Forensic Linguistics. An Introduction to Language, Crime and the Law. Londres:

Continuum. (Cap. 11).

55 Rodríguez Bravo, Á. (1998). La identificación de la voz humana. Revista Catalana de Seguretat

Pública, 3, 97-99.

56 Rose, Ph. (2002). Forensic Speaker Identification. Londres: Taylor & Francis.

57 Watt, D. (2010). The identification of the individual through speech. En C. Llamas y D. Watt (Eds.),

Language and Identities (pp. 76-85). Edimburgo: Edinburgh University Press.

3 Sobre el LADO

58 Broeders, A.P.A. (2010). Decision-making in LADO: A view from the forensic arena. En K. Zwaan,

P. Muysken y M. Verrips (Eds.), Language and Origin. The Role of Language in European Asylum

Procedures: A Linguistic and Legal Survey (pp. 51-60). Nimega: Wolf Legal Publishers.

59 Cambier-Langeveld, T. (2010). The role of linguists and native speakers in language analysis for the

determination of speaker origin. International Journal of Speech, Language and the Law, 17(1), 67-

93.

60 Eades, D., Fraser, H., Siegel, J., McNamara, T. y Baker, B. (2003). Linguistic identification in the

determination of nationality: A preliminary report. Language Policy, 2(2), 179-199.

61 Eades, D. (2009). Testing the claims of asylum seekers: The role of language analysis. Language

Assessment Quarterly, 6, 30-40.

62 Eades, D. (2010a). Guidelines from linguists for LADO. En K. Zwaan, P. Muysken y M. Verrips

(Eds.), Language and Origin. The Role of Language in European Asylum Procedures: A Linguistic

and Legal Survey (pp. 35-41). Nimega: Wolf Legal Publishers.

63 Eades, D. (2010b). Language analysis and asylum cases. En M. Coulthard y A. Johnson (Eds.),

Routledge Handbook of Forensic Linguistics (pp. 411-422). Londres: Routledge.

64 Foulkes, P. y Wilson, K. (2011). Language analysis for the determination of origin: An empirical

study. Comunicación presentada en el XVII International Congress of Phonetic Sciences. Hong-

Kong.

65 Fraser, H. (2009). The role of 'educated native speakers' in providing language analysis for the

determination of the origin of asylum seekers. International Journal of Speech, Language and the

Law, 16(1), 113-138.

66 Language and Asylum Research Group. (2011). LADO Bibliography. University of Essex.

http://www.essex.ac.uk/larg/resources/bibliography.aspx

67 LNOG - Language and National Origin Group. (2004). Guidelines for the use of language analysis in

relation to questions of national origin in refugee cases. International Journal of Speech, Language

and the Law, 11(2), 261-66.

68 Maryns, K. (2004). Identifying the asylum speaker: Reflections on the pitfalls of language analysis in

the determination of national origin. International Journal of Speech, Language and the Law, 11(2),

240-260.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

4

69 Moosmüller, S. (2010). IAFPA position on language analysis in asylum procedures. En K. Zwaan, P.

Muysken y M. Verrips (Eds.), Language and Origin. The Role of Language in European Asylum

Procedures: A Linguistic and Legal Survey (pp. 43-47). Nimega: Wolf Legal Publishers.

70 Morgades, S. (2010). The asylum procedure in Spain: The role of language in determining the origin

of asylum seekers. En K. Zwaan, P. Muysken y M. Verrips (Eds.), Language and Origin. The Role of

Language in European Asylum Procedures: A Linguistic and Legal Survey (pp. 159-175). Nimega:

Wolf Legal Publishers.

71 Patrick, P. L. (2010). Language variation and LADO (Language Analysis for Determination of

Origin). En K. Zwaan, P. Muysken y M. Verrips (Eds.), Language and Origin. The Role of Language

in European Asylum Procedures: A Linguistic and Legal Survey (pp. 73-87). Nimega: Wolf Legal

Publishers.

72 Reath, A. (2004). Language analysis in the context of the asylum process: Procedures, validity and

consequences. Language Assessment Quarterly, 1(4), 209-233.

73 Tax, B. (2010). The use of expert evidence in asylum procedures by EU member states - the case for

harmonised procedural safeguards. En K. Zwaan, P. Muysken y M. Verrips (Eds.), Language and

Origin. The Role of Language in European Asylum Procedures: A Linguistic and Legal Survey (pp.

225-232). Nimega: Wolf Legal Publishers.

74 Wilson, K. (2009). Language Analysis for the Determination of Origin: Native Speakers vs. Trained

Linguists. MSc dissertation in Linguistics, University of York.

4 Sobre la diferenciación de tareas y la especialización terminológica

75 Bimbot, F., Chollet, G. y Paoloni, A. (Eds.) (1995). Special section on automatic speaker recognition,

identification and verification. Speech Communication, 17(1-2), 81-298.

76 Bricker, P. D. y Pruzansky, S. (1976). Speaker recognition. En N. J. Lass (Ed.), Conteporary Issues in

Experimental Phonetics (pp. 295-326). Londres: Academic Press.

77 Broeders, A. P. A. (2004). Forensic speech and audio analysis forensic linguistics. A review: 2001-

2004. Comunicación presentada en el 14th INTERPOL Forensic Science Symposium. Lyon.

78 French, J. P. y Harrison, P. (2007). Position statement concerning use of impressionistic likelihood

terms in forensic speaker comparison cases. International Journal of Speech, Language and the Law,

14, 137-144.

79 French, J. P., Nolan, F., Foulkes, P. y McDougall, K. (2010). The UK position statement on forensic

speaker comparison: A rejoinder to Rose and Morrison. International Journal of Speech, Language

and the Law, 17(1), 143-152.

80 Jessen, M. (2007). Speaker classification in forensic phonetics and acoustics. En C. Müller (Ed.),

Speaker Classification I: Fundamentals, Features, and Methods (pp. 180–204). Berlín: Springer.

81 Jin, M. y Yoo, Ch. (2010). Speaker verification and identification. En L. Wang, y X. Geng (Eds.),

Behavioral Miometrics for Human Identification: Intelligent Applications (pp. 264-289). Hershey,

Pennsylvania: IGI Global.

82 Künzel, H. J. (1995). Field procedures in forensic speaker recognition. En J. Windsor Lewis (Ed.),

Studies in General and English Phonetics. Essays in Honour of Prof. J. D. O’Connor (pp. 68-83).

Londres: Routledge.

83 Müller, C. (Ed.) (2007). Speaker Classification. Berlín: Springer, vols. I y II.

84 Rose, P. y Morrison, G. S. (2009). A response to the UK position statement on forensic speaker

comparison. International Journal of Speech, Language and the Law, 16, 139-163.

5 Sobre las ruedas de reconocimiento de voz y la identificación por testigos

85 Barry, M. C. (2008). Conducting a voice parade: Methods and assumptions. Comunicación

presentada en el Congreso de la IAFPA 2008. Lausanne.

86 Barry, M. C. (2009). Methodological failures in police conduct of a voice parade. Comunicación

presentada en el Congreso de la IAFPA 2009. Cambridge.

87 Bastiaansen, M., Rietveld, A. C. M., y Broeders, A. P. A. (1996). Repeated testing in auditory

identification by witnesses. Comunicación presentada en el 1996 Annual Meeting of the

International Association for Forensic Phonetics, Wiesbaden.

88 Braun, A. (1996). Age estimation by different listener groups. Forensic Linguistics, 3(1), 65–73.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

5

89 Broeders, A. P. A. (1996). Earwitness identification: Common ground, disputed territory, and

uncharted areas. Forensic Linguistics 3(1), 1–13.

90 Broeders, A. P. A., Cambier-Langeveld, T. y Vermeulen, J. (2002). Arranging a voice lineup in a

foreign language. International Journal of Speech, Language and the Law, 9(1), 104-112.

91 Broeders, A. P. A. y Rietveld, A. C. M. (1995). Speaker identification by earwitnesses. En A. Braun

y J.-P. Köster (Eds.), Studies in Forensic Phonetics (pp. 24-40). Trier: Wissenschaftlicher.

92 Broeders, A. P. A. y Van Amelsvoort, A. G. (2001). A practical approach to forensic earwitness

identification: Constructing a voice lineup. En J. Wójcikiewicz (Ed.), Problems of Forensic Sciences:

Proceedings of EAFS Meeting (pp. 237-245). Cracovia.

93 Bull, R. y Clifford, B. R. (1984). Earwitness voice recognition accuracy. En G. L. Wells y F. Loftus

(Eds.), Eyewitness Testimony: Psychological Perspectives (pp. 92-123). Nueva York: Cambridge

University Press.

94 Bull, R. y Clifford, B. R. (1999a). Earwitness testimony. En A. Heaton-Armstrong, E. Shepherd y D.

Wolhover (Eds.), Analysing Witness Testimony: A Guide for Legal Practitioners and Other

Professionals (pp. 194-206). Londres: Blackstone Press.

95 Bull, R. y Clifford, B. R. (1999b). Earwitness testimony. Medicine, Science, and Law, 39(2), 120-

127.

96 Butcher, A. (1996). Getting the voice line-up right: Analysis of a multiple auditory confrontation. En

P. McCormack y A. Russell (Eds.), Proceedings of the 6th Australian International Conference on

Speech Science and Technology (pp. 97-102). Adelaida: Flinders University.

97 Clifford, B. R. (1983), Memory for voices: The feasibility and quality of earwitness evidence. En S.

M. A. Lloyd-Bostock y B. R. Clifford (Eds.), Evaluating Witness Evidence (pp. 189-218). Toronto:

Wiley.

98 Clifford, B. R., Rathbor, H. Y Bull, R. (1981). The effects of delay on voice recognition accuracy.

Law and Human Behavior, 5, 201-208.

99 Cort, S. y Murry, T. (1972). Aural identification of children’s voices. Journal of the Acoustical

Society of America, 51, 131(A).

100 De Jong, G. (1998). Earwitness Characteristics and Speaker Identification Accuracy. Ann Arbor, MI:

Dissertation-Abstracts-International.

101 Eriksson, A. y Öhman, L. (2008). All ears. An earwitness research program. Comunicación

presentada en el Congreso de la IAFPA 2008. Lausana.

102 Goggin, J. P., Thompson, C. P., Strube, G. y Simental, L. R. (1991). The role of language familiarity

in voice identification. Memory and Cognition, 19, 448-58.

103 Goldstein, A. G., Knight, P., Bailis, K. y Conover, J. (1981). Recognition memory for accented and

unaccented voices. Bulletin of the Psychonomic Society, 17, 217-20.

104 Hjortshøj Sørensen, M. (2009). Voice line-ups: Some voices are easier to remember than others – and

some people are better at it. Comunicación presentada en el Congreso de la IAFPA 2009. Cambridge.

105 Hollien, H. (1996). Consideration of guidelines for earwitness lineups. Forensic Linguistics, 3(1),

14–23.

106 Hollien H., Huntley R., Künzel, H. J. y Hollien P. A. (1995). Criteria for earwitness lineups.

Forensic Linguistics, 2(2), 143-15.

107 Kapardis, A. (2010). Psychology and Law: A Critical Introduction. Cambridge: Cambridge

University Press, 3ª edic.

108 Kerstholt, J. H., Jansen, N. J. M., Van Amelsvoort, A. G. y Broeders, A. P .A. (2004). Earwitnesses:

Effects of speech duration, retention intervals and acoustic environment. Applied Cognitive

Psychology, 18(3), 327-336.

109 Köster, O., Hess, M. M., Schiller, N. O. y Künzel, H. J. (1998). The correlation between auditory

speech sensitivity and speaker recognition ability. Forensic Linguistics, 5(2), 22-32.

110 Köster, O., Jessen, M., Khairi, F. y Eckert, H. (2007). Auditory-perceptual identification of voice

quality by expert and non-expert listeners. Comunicación presentada en el XVIth International

Congress of Phonetic Sciences, Saarbrücken.

111 Köster, O. y Köster, J.-P. (2004). The auditory-perceptual evaluation of voice quality in forensic

speaker recognition. The Phonetician, 89, 9–37.

112 Köster, O., Schiller, N. O. y Künzel, H. J. (1995). The influence of native-language background on

speaker recognition. En K. Elenius y P. Branderud (Eds.), Proceedings of the XIIIth International

Congress of Phonetic Sciences, vol. 3 (pp. 306-9), Estocolmo: KTH y Stockholm University.

113 Köster, O. y Schiller, N. O. (1997). Different influences of the native language of a listener on

speaker recognition. International Journal of Speech, Language and the Law, 4, 18-28.

114 Kreiman, J., Gerrat, B. R., Precoda, K. y Berke, G. S. (1992). Individual differences in voice quality

perception. Journal of Speech and Hearing Research, 35(5), 12–20.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

6

115 Künzel, H. J. (1994). On the problem of speaker identification by victims and witnesses. Forensic

Linguistics, 1(1), 45-58.

116 Ladefoged, P. (1978). Expectation affects identification by listening. Language and Speech, 21(4),

373-374.

117 Ladefoged P. y Ladefoged J. (1980). The ability of listeners to identify voices. UCLA Working Papers

in Phonetics, 49, 43-51.

118 Mc Gehee, F. (1937). The reliability of the identification of the human voice. Journal of General

Psychology, 17, 249-271.

119 McGehee, F. (1944). An experimental study of voice recognition. Journal of General Psychology,

31, 53-65.

120 Manzanero, A. L. (2010). Memoria de testigos: Obtención y valoración de la prueba

testifical. Madrid: Pirámide.

121 Michel, F. J. (1980). Use of the voice line-up. Convention Abstracts of the American Academy of

Forensic Sciences, 937 (A).

122 Nolan, F. y Grabe, E. (1996). Preparing a voice line-up. Forensic Linguistics, 3(1), 74-94.

123 Nolan, F. (2003). A recent voice parade. International Journal of Speech, Language and the Law,

10(2), 277-291. 124 Papcun, G., Kreiman, J. y Davis, A. (1989). Long-term memory for unfamiliar voices. Journal of the

Acoustical Society of America, 85, 913-925.

125 Rodríguez Bravo, A. (2005). Identificación perceptiva de locutores para la acústica forense.

Comunicación presentada en el III Congreso de la Sociedad Española de Acústica Forense, Santiago

de Compostela.

126 Saslove, H. y Yarmey, A. D. (1980). Long-term auditory memory: Speaker identification. Journal of

Applied Psychology, 65, 111–116. 127 Schiller, N.O. y Köster, O. (1998). The ability of expert witnesses to identify voices: a comparison

between trained an untrained listeners. Forensic Linguistics, 5(1), 1-9.

128 Schlichting, F. y Sullivan, K. P. H. (1997). The imitated voice — a problem for voice line-ups?

Forensic Linguistics, 4(1), 148-165.

129 Stuart Laubstein, A. (1997). Problems of voice line-ups. Forensic Linguistics, 4(2), 262-279.

130 Van Lancker, D. y Kreiman, J. (1985). Unfamiliar voice discrimination and familiar voice

recognition are independent and unordered habilities. UCLA Working Papers in Phonetics, 62, 50-60.

131 Yarmey, A. D. (1995). Earwitness and evidence obtained by other senses. En R. Bull y D. Carson

(Eds.), Handbook of Psychology in Legal Contexts (pp. 261-273). Chichester: Wiley.

132 Yarmey, A. D. (2001). Earwitness descriptions and speaker identification. Forensic Linguistics 8(1),

113-122.

133 Zetterholm, E., Sarwar, F. y Allwood, C. M. (2010). Earwitnesses: The effect of type of voice lineup

in identification accuracy and the realism in confidence judgments. En S. Schötz y G. Ambrazaitis

(Eds.), Lund University Centre for Languages and Literature Working Papers, 54, (Proceedings from

Fonetik 2010), 113-119.

6 Sobre los distintos métodos de análisis

134 Benzeghiba, M., De Mori, R., Deroo, O., Dupont, S., Erbes, T., Jouvet, D., Fissore, L., Laface, L.,

Mertins, A., Ris, C., Rose, R., Tyagi, V. y Wellekens, C. (2007). Automatic speech recognition and

speech variability: A review. Speech Communication, 49(10-11), 763-786.

135 Broeders, A. P. A. (2000). Speech as a biometric: Separating the goats from the sheep? En C. M.

Breur, M. M. Kommer, J. F. Nijboer y J. M. Reijntjes (Eds.), New Trends in Criminal Investigation

and Evidence II (pp. 83-94). Amberes: Intersentia.

136 Cambier-Langeveld, T. (2007). Current methods in forensic speaker identification: Results of a

collaborative exercise. International Journal of Speech, Language and the Law, 14(2), 223-243.

137 Chollet, G. (1994). Automatic speech and speaker recognition: Overview, current issues and

perspectives. En E. Keller (Ed.), Fundamentals of Speech Synthesis and Speech Recognition. Basic

Concepts, State of the Art and Future Challenges (pp. 129-148). Chichester, R.U.: John Wiley &

Sons.

138 Cosi, P. (1982). Speaker recognition: A survey. En J. P. Haton (Ed.), Automatic Speech Analysis and

Recognition (pp. 277-308). Dordrecht: Reidel.

139 Doddington, G. (1985). Speaker recognition. Identifying people by their voices. Proceedings of the

IEEE, 73, 1651-1664.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

7

140 Doddington, G., Liggett, W., Martin, A., Przybocki, M. Y Reynolds, D. A. (1998). Sheep, goats,

lambs and wolves: A statistical analysis of speaker performance. En 5th

International Conference on

Spoken Language Processing. Sydney: ISCA.

141 Eriksson, A. (2012). Aural/acoustic vs. automatic methods in forensic phonetic case work. En A.

Neustein y H. A. Patil (Eds.), Forensic Speaker Recognition. Law Enforcement and Counter-

Terrorism (pp. 41-69). Nueva York: Springer.

142 Faúndez, M. y Monte, E. (2005). State-of-the-art in speaker recognition. IEEE Aerospace and

Electronic Systems Magazine, 20(5), 7-12.

143 Furui, S. (1996). An overview of speaker recognition technology. En C. H. Lee, F. K. Soong y K. K.

Paliwal (Eds.), Automatic Speech and Speaker Recognition (pp. 31-56). Dordrecth: Kluwer

Academic Publishers.

144 Hollien, H., Bennett, G. T. y Gelfer, M. P. (1983). Criminal identification comparison: Aural vs.

visual identifications resulting from a simulated crime. Journal of Forensic Sciences, 28, 208-221.

145 Hollien, H. y Schwartz, R. (2000). Aural-perceptual speaker identification: Problems with non-

contemporary samples. Forensic Linguistics 7(2), 199-211.

146 Jessen, M. (2009). Forensic phonetics. Language and Linguistics Compass, 2(4), 671-711.

147 Künzel, H. J. (1994). Current approaches to forensic speaker recognition. En Proceedings of the

ESCA Workshop on Automatic Speaker Recognition, Identification and Verification (pp. 135-142).

Martigny, Suiza,

148 Lucena, J. y Díaz, J. J. (2000). Evaluación del sistema de reconocimiento automático de locutores

IdentiVox 2000 con la base de datos AHUMADA. Actas del I Congreso de la Sociedad Española de

Acústica Forense, 183-192.

149 Meuwly, D. (2001). Reconnaissance de locuteurs: L’apport d’une aproche automatique. Tesis

Doctoral, Universidad de Lausanne.

150 Meuwly, D. (2006). Forensic individualization from biometric data. Science and Justice, 46(4), 205–

213. 151 Moreno, A., García Gomar, M., Bautista, R. y Castaño, J. (2005). Influencia de variables en el

reconocimiento automático de locutor. Comunicación presentada en el III Congreso de la Sociedad

Española de Acústica Forense, Santiago de Compostela.

152 Nolan, F. (1990). The limitations of auditory-phonetic speaker identification. En H. Kniffka (Ed.),

Texte zur Theorie und Praxis forensischer Linguistik (pp. 457-479). Tubinga: Max Niemeyer Verlag.

153 Nolan, F. (1994). Auditory and acoustic analysis in speaker recognition. En J. Gibbons (Ed.),

Language and the Law (pp. 326-345). Londres: Longman.

154 Ortega, J., Cruz, S. y González, J. (1998). Quantitative influence of speech variability factors for

automatic speaker verification in forensic tasks. En CSLP 98 Conference Proceedings CD-ROM. The

5th International Conference on Spoken Language Processing. Sydney: Causal Productions.

155 Ortega, J. y González, J. (1994). Robust speech modeling for speaker identification in forensic

acoustics. En European Speech Communication Association (Ed.), Workshop on Automatic Speaker

Recognition and Verification (pp. 217-220). Martigny: ESCA.

156 Ramos, D. (2007). Forensic Evaluation of the Evidence Using Automatic Speaker Recognition

Systems, Tesis Doctoral, Universidad Autónoma de Madrid, Madrid.

157 Rose, P. (2006). Technical forensic speaker recognition: Evaluation, types and testing of

evidence. Computer Speech and Language, 20(2-3), 159-191.

158 Schmidt-Nielsen, A. y Crystal, T. H. (1998). Human vs, machine speaker identification with

telephone speech. En R. H. Mannell y J. Robert-Ribes (Eds.), Proceedings of the International

Conference on Spoken Language Processing (pp. 222-225). Sydney: Australian Speech Science and

Technology Association Incorporated (ASSTA).

159 Stevens, K. N., Williams, C. E., Carbonelli, J. R. y Woods B. (1968). Speaker authentication and

identification: A comparison of spectrographic and auditory presentations of speech material. Journal

of the Acoustical Society of America, 43, 1596-1607.

160 Wayman, J. L. (2001). Theory, characterization and testing of general biometric technologies.

Comunicación presentada en 2001-A Speaker Odyssey. Creta.

7 Sobre la técnica basada en las “huellas vocales”

161 Black, J. W., Lashbrook, W., Nash, E., Oyer, H. J., Pedrey, C., Tosi, O. y Truby, H. (1973). Reply to

'Speaker identification by speech spectrograms: Some further observations'. Journal of the Acoustical

Society of America, 54(2), 535-537.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

8

162 Bolt, R. H., Cooper, F. S., David, E. E., Denes, P. B., Pickett, J. y Stevens, K. N. (1969).

Identification of a speaker by speech spectrograms. Science, 166, 338-343.

163 Bolt, R. H., Cooper, F. S., David, E. E., Denes, P. B., Pickett, J. y Stevens, K. N. (1970). Speaker

identification by speech spectrograms: A scientists' view of its reliability for legal purposes. Journal

of the Acoustical Society of America, 47(2), 597-612.

164 Bolt, R. H., Cooper, F. S., David, E. E., Denes, P. B., Pickett, J. y Stevens, K. N. (1973). Speaker

identification by speech spectrograms: some further observations. Journal of the Acoustical Society

of America, 54(2), 531-534.

165 Bolt, R. H., Cooper, F. S., Green, D., Hamlet, S. L., Hogan, D. L., Mc Knight, J. G., Pickett, J. M.,

Tosi, O. y Underwood, B. D. (1979). On the theory and practice of voice identification. Technical

report. Washington: National Academy of Sciences.

166 Endres, W., Bambach, W. y Flosser, G. (1971). Voice spectrograms as a function of age, voice

disguise and voice imitation. Journal of the Acoustical Society of America, 49, 1842-1848.

167 Greene, B. G., Pisoni, D. B. y Carell, T. D. (1984). Recognition of speech spectrograms. Journal of

the Acoustical Society of America, 76(1), 32-43.

168 Gruber, J. S. y Poza, F. T. (1995). Voicegram Identification Evidence. American Jurisprudence

Trials, vol. 54. Nueva York: Lawyer Cooperative Publishing.

169 Hazen, B. (1973). Effects of differing phonetic contexts on spectrographic speaker

identification. Journal of the Acoustical Society of America, 54(3), 650-660.

170 Hecker. M. (1971). Speaker Recognition: An Interpretive Survey of the Literature. Nueva York:

American Speech and Hearing Association Monographs, 16.

171 Kersta, L. (1962). Voiceprint identification. Nature, 196, 1253-1257.

172 Koenig, B. (1986). Spectrographic voice identification: A forensic survey. Journal of the Acoustical

Society of America, 79(6), 2088-2090.

173 Ladefoged, P. (1971). An opinion on 'voiceprints'. UCLA Working Papers in Phonetics, 19, 84-87.

174 Ladefoged, P. y Vanderslice, R. (1967). The voiceprint mystique. UCLA Working Papers in

Phonetics, 7, 126-142.

175 Lindh, J. (2004). Handling the "voiceprint" issue. En Proceedings of Fonetik 2004. Universidad de

Estocolmo, Estocolmo.

176 McDermott, M. C., Owen, T. y McDermott, F. M. (1996). Voice identification. The Aural-

Spectrographic Method. Nueva York: Owl Investigations, Inc. 177 Meuwly, D. (2003a). Le mythe de «L’empreinte vocale» (I). Revue Internationale de Criminologie

et de Police Technique et Scientifique, 56(2), 219–236.

178 Meuwly, D. (2003b). Le mythe de «L’empreinte vocale» (II). Revue Internationale de Criminologie

et de Police Technique et Scientifique, 61(3), 361–374.

179 National Research Council. (1979). On the Theory and Practice of Voice Identification. Washington:

National Academy of Sciences.

180 Pollack, I., Pickett, J. y Sumby, W. H. (1954). On the identification of speakers by voice. Journal of

the Acoustical Society of America, 26(3), 403-406.

181 Schwartz, R. (2006). Voiceprints in the United States – Why they won’t go away. Comunicación

presentada en el Congreso de la IAFPA 2006, Gotemburgo.

182 Stevens, K. N., Williams, C. E., Carbonell, J. R. y Woods, B. (1968). Speaker authentication and

identification: A comparison of spectrographic and auditory presentations of speech material. Journal

of the Acoustical Society of America, 44(6), 1596–1607.

183 Tosi, O. I. (1979). Voice Identification. Theory and Legal Applications. Baltimore: University Park

Press.

8 Sobre el rendimiento judicial comparado de los diferentes parámetros

184 Brown, R. (1981). An experimental study of the relative importance of acoustic parameters for

auditory speaker recognition. Language and Speech, 24, 293-351.

185 Doddington, G. (1985). Speaker recognition - Identifying people by their voices. Proceedings of the

IEEE, 73, 1651-1664.

186 Doherty, E. T. (1975). Evaluation of selected acoustic parameters for use in speaker identification.

Journal of the Acoustical Society of America, 58, S 107.

187 Doherty, E. T. y Hollien, H. (1978). Multiple-factor speaker identification of normal and distorted

speech. Journal of Phonetics, 6, 1-8.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

9

188 Itoh, K. y Saito, S. (1982). Effects of acoustical feature parameters of speech on perceptual

identification of speaker. Transactions of the Institute of Electronics and Communication Engineers

of Japan, J65-A, 101-108.

189 Kuwabara, H. y Sagisaka, Y. (1995). Acoustic characteristics of speaker individuality: Control and

conversion. Speech Communication, 16(2), 165-173.

190 Rosas, C. Y Sommerhoff, J. (2010). Implicancias y proyecciones forenses en el análisis de la voz.

Estudios Filológicos, 46, 101-118.

191 Schriberg, E. (2007). Higher level features in speaker recognition. En C. Müller (Ed.), Speaker

classification I. (pp. 241-59). Berlín: Springer.

192 Stevens, K. N. (1972). Sources of inter- and intra- speaker variability in the acoustic properties of

speech sounds. En ICPhS 1972. Proceedings of the 7th

International Congress of Phonetic Sciences

(pp. 206-32). La Haya: Mouton.

193 Van Dommelen, W. A. (1990). Acoustic parameters in human speaker recognition. Language and

Speech, 33, 259-272.

194 Wolf, J. J. (1972). Efficient acoustic parameters for speaker recognition. Journal of the Acoustical

Society of America, 51, 2044-2056.

9 Sobre el rendimiento judicial de la estructura formántica

195 Albalá, M. J., Battaner, E., Carranza, M., Gil, J., Llisteri, J., Machuca, M. J., Marrero, V. y Ríos, A.

(2008). VILE: Nuevos datos acústicos sobre vocales del español. Language Design. Journal of

Experimental and Theoretical Linguistics. Special Issue: New Trends in Experimental Phonetics, 1-

14.

196 Alderman, T. (2005). Forensic Speaker Identification: A Likelihood Ratio-based Approach Using

Vowel Formants. Munich: Lincom Europa.

197 Bachorowski, J. A. y Owren, M. J. (1999). Acoustic correlates of talker sex and individual talker

identity are present in a short vowel segment produced in running speech. Journal of the Acoustical

Society of America, 106(2), 1054–63.

198 Battaner, E., Carbó, C., Gil, J., Llisterri, J., Machuca, M. J., Madrigal, N., Marrero, V., de la Mota,

C., Riera, M. y Ríos, A. (2005). VILE: Estudio acústico de la variación inter- e intralocutor en

español. Procesamiento del Lenguaje Natural, 35, 435-436.

199 Cerdà, R. (2011). Creus que la teva veu és única? En A. M. Fernández Planas (Ed.), Lingüística

forense (pp. 32-40). Número monográfico de la Revista de Sociolingüística de la Universitat de

Barcelona. Barcelona: Universidad de Barcelona.

http://www.ub.edu/cusc/revista/lsc/hemeroteca/numero9/lsc_actual.htm. 200 Cerdà, R., Farrús, M., Hernando, J. y Veyrat, M. (2007). «Propuesta de experimento sobre la noción

de campo de dispersión fonemática». Actas do III Congreso da Sociedade Española de Acústica

Forense, 127-139.

201 Eriksson, E. J., Cepeda, L. F., Rodman, R. D., McAllister, D. F., Bitzer, D. y Arroway, P. (2004).

Cross-language speaker identification using spectral moments. En P. Branderud, O. Engstrand y H.

Traunmüller (Eds.), Proceedings of FONETIK 2004, The Seventeenth Swedish Phonetics Conference

(pp. 76-79). Estocolmo: Stockholm University.

202 Greisbach, R., Esser, O. y Weinstock, C. (1995). Speaker identification by formant contours. En A.

Braun y J.-P. Köster (Eds.), Studies in Forensic Phonetics (pp. 49-55). Trier: Wissenschaftlicher

Verlag.

203 Ingram, J. Prandolini, R. y Ong, S. (1996). Formant trajectories as indices of phonetic variation for

speaker identification. Forensic Linguistics, 3(1), 129-145.

204 Jessen, M. (2008). Continuous vs. categorical variations between speakers. Comunicación

presentada en el Congreso de la IAFPA 2008. Lausanne.

205 Jessen, M. y Becker, T. (2010). Long-Term Formant Distribution as a phonetic-forensic feature.

Comunicación presentada en ASA 2nd Pan-American/Iberian Meeting on Acoustics, Cancún.

206 Kasuya, H., Tan, X. y Yang, C.-S. (1994). Voice source and vocal tract characteristics associated

with speaker individuality. En Proceedings of the International Conference on Spoken Language

Processing (pp. 1459–62). Yokohama: Acoustical Society of Japan.

207 Kinoshita, Y. (2001). Testing Realistic Forensic Speaker Identification in Japanese: A Likelihood

Ratio Based Approach Using Formants. Tesis Doctoral. Department of Linguistics, The Australian

National University.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

10

208 Marrero, V., Gil, J. y Battaner, E. (2003). Inter-speaker variation in Spanish. An experimental and

acoustic preliminary approach. En Proceedings of the 15th International Congress of Phonetic

Sciences (pp. 703-06), Barcelona: UAB / Casual Productions.

209 Marrero. V., Battaner, E., Gil, J., Llisterri, J., Machuca, M., Marquina, N., de la Mota, C. y Ríos,

A. (2008). Identifying speaker-dependent acoustic parameters in Spanish vowels. En Proceedings of

Acoustics'08 (pp. 5673- 5677). París: Acoustical Society of America - European Acoustics

Association - Societé Française d'Acoustique.

210 McDougall, K. (2004). Speaker-specific formant dynamics: An experiment on Australian English /a/.

International Journal of Speech, Language and the Law, 11(1), 103-130.

211 McDougall, K. (2006). Dynamic features of speech and the characterisation of speakers.

International Journal of Speech, Language and the Law, 13(1), 89-126.

212 Molina de Figueiredo, R. (1995). Speaker identification using a spectral moments metrica with the

voiceless fricative /s/. Comunicación presentada en el XIII International Congress of Phonetic

Sciences. Estocolmo.

213 Moos, A. (2008). Long Term Formant Distribution based on German spontaneous and read speech.

Comunicación presentada en el Congreso de la IAFPA 2008. Lausana.

214 Morrison, G. S. y Kinoshita, Y. (2008). Automatic-type calibration of traditionally derived

Likelihood Ratios: Forensic analysis of Australian English /o/ formant trajectories. En

INTERSPEECH-2008. ISCA: Brisbane, 1501-1504.

215 Morrison, G. S. (2008). Forensic voice comparison using likelihood ratios based on polynomial

cur International Journal of Speech,

Language and the Law, 15, 249–266.

216 Morrison, G. S. (2009). Likelihood-ratio forensic voice comparison using parametric representations

of the formant trajectories of diphthongs. Journal of the Acoustical Society of America, 125, 2387–

2397.

217 Nolan, F. y Grigoras, C. (2004). Formant analysis in forensic speaker identification: A justification

and a new method. Comunicación presentada al Congreso de la IAFPA 2004. Helsinki.

218 Nolan, F. y Grigoras, C. (2005). A case for formant analysis in forensic speaker identification.

International Journal of Speech, Language and the Law, 12(2), 143-173.

219 Hughes, V., McDougall, K. y Foulkes, P. (2009). Diphthong dynamics in unscripted speech.

Comunicación presentada en el Congreso de la IAFPA 2009. Cambridge.

220 Rodman, R., McAllister, D., Bitzer, D., Cepeda, L. y Abbitt, P. (2002). Forensic speaker

identification based on spectral moments, Forensic Linguistics, 9(1), 22–43.

221 Rose, Ph.. Osanai, T. y Kinoshita, Y. (2003). Strength of forensic speaker identification evidence:

Multi-speaker formant- and cepstrum-based segmental discrimination with a Bayesian likelihood

ratio as threshold. Forensic Linguistics, 10(2), 179-202.

222 Rose, Ph. (2006). The intrinsic forensic discriminatory power of diphthongs. En P. Warren y C. I.

Watson (Eds.), Proceedings of the 11th Australian International Conference on Speech Sciences and

Technology (pp.492-497). Auckland: University of Auckland.

223 Rose, P., Kinoshita, Y. y Alderman, T. (2006). Realistic extrinsic forensic speaker discrimination

with the diphtong /aI/. Proceedings of the 11th

Australasian International Conference on Speech

Sciences and Technology (pp. 329-334). Sydney: University of Sydney.

10 Sobre el rendimiento judicial de la F0

224 Aberton, E. y Fourcin, A. J. (1978). Intonation and speaker identification. Language and Speech, 21,

305-318.

225 Adami, A. G. (2007). Modelling prosodic differences for speaker recognition. Speech

Communication, 49, 277-291.

226 Atal, B. S. (1972). Automatic speaker recognition based on pitch contours. Journal of the Acoustical

Society of America, 52, 1687-1697.

227 Atkinson, J. E. (1976). Inter- and intraspeaker variability in fundamental voice frequency. Journal of

the Acoustical Society of America, 60, 440-445.

228 Barlow, M. G. (1993). Prosodic Acoustic Correlates of Speaker Characteristics. Dissertation

Abstracts International, Ann Arbor, 54.

229 Barry, W. J., Goldsmith, M., Fourcin, A. J. y Fuller, H. (1991). Stability of voice frequency measures

in speech. En Proceedings of the XIIth International Congress of Phonetic Sciences (pp. 38-41). Aix-

en-Provence.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

11

230 Boss, D. (1996). The problem of F0 and real life speaker identification: A case study. Forensic

Linguistics, 3(1), 155-160.

231 Braun, A. (1995). Fundamental frequency. How speaker-specific is it? En A. Braun y J.-P. Köster

(Eds.), Studies in Forensic Phonetics (pp. 9-23). Trier: Wissenschftlicher Verlag.

232 Carrell, T. D. (1985). Contibutions of Fundamental Frequency, Formant Spacing and Glottal

Waveform to Talker Identification. Dissertation Abstracts International, Ann Arbor, 45.

233 Cicres, J. (2005). La variabilidad de la entonación dentro y entre hablantes y su utilidad en fonética

forense. Comunicación presentada en el III Congreso de la Sociedad Española de Acústica Forense,

Universidad de Santiago, Santiago de Compostela. 234 Cicres, J. (2007). Aplicación del análisis de la entonación y de la alineación tonal a la identificación

de hablantes en fonética forense. Tesis doctoral. IULA. Universidad Pompeu Fabra.

235 Dommelen, W. A. van (1997). The contribution of speech rhythm and pitch to speaker recognition.

Language and Speech, 34(4), 325-338.

236 Farrús, M. (2011). La prosòdia com a identificador biometric. En A. M. Fernández Planas (Ed.),

Lingüística forense (pp. 41-46). Número monográfico de la Revista de Sociolingüística de la

Universitat de Barcelona. Barcelona: Universidad de Barcelona.

http://www.ub.edu/cusc/revista/lsc/hemeroteca/numero9/lsc_actual.htm

237 Fitch, J. L. (1990). Consistency of fundamental frequency and perturbation in repeated phonations of

sustained vowels, reading, and connected speech. Journal of Speech and Hearing Disorders, 5, 360-

363.

238 Gfroerer, S. y Wagner, I. (1995). Fundamental frequency in forensic speech samples. En A. Braun y

J.-P. Köster (Eds.), Studies in Forensic Phonetics (pp. 41-48). Trier: Wissenschftlicher Verlag.

239 Hudson, T., de Jong, G., McDougall, K., Harrison, Ph. y Nolan, F. (2007). F0 statistics for 100 young

male speakers of Standard Southern British English. En Proceedings of the 16th

International

Congress of Phonetic Sciences, Saärbrucken, Alemania.

240 Iles, M. W. (1973). Speaker Identification as a Function of Fundamental Frequency and Resonant

Frequencies. Dissertation Abstracts International, Ann Arbor, 34.

241 Jassem, W. (1971). Pitch and compass of the speaking voice. Journal of the International Phonetic

Association, 1, 59-68.

242 Jiang, M. (1996). Fundamental frequency vector for a speaker identification system. Forensic

Linguistics, 3(1), 95- 107.

243 Johnson, K. (1990). The role of perceived speaker identity in F0 normalization of vowels. Journal of

the Acoustical Society of America, 88(2), 642-654.

244 Kinoshita, Y. (2005). Does Lindley’s LR estimation formula work for speech data?: Investigation

using long-term F0. International Journal of Speech, Language and the Law, 12, 235-254.

245 Kinoshita, Y., Ishihara, S. y Rose, P. (2008). Exploring the discriminatory potential of F0 distribution

parameters in traditional forensic speaker recognition. International Journal of Speech Language

and the Law, 16(1), 91-111.

246 LaRivière, C. (1975). Contribution of fundamental frequency and formant frequencies to speaker

identification. Phonetica, 31, 185-197.

247 Schiller, N. y Köster, O. (1995). Comparison of four widely used F0-analysis-systems in the forensic

domain. En A. Braun y J.-P. Köster (Eds.), Studies in Forensic Phonetics (pp. 146-158). Trier:

Wissenschftlicher Verlag.

248 Steffen-Batog, M., Jassem, W. y Gruszka-Koscielak, H. (1970). Statistical distribution of short term

F0 values as a personal voice characteristic. En W. Jassem (Ed.). Speech Analysis and Synthesis II

(pp. 195-206). Varsovia: Polish Academy of Sciences.

249 Zraick, R. I., Skaggs, S. D. y Montague, J. C. (2000).The effect of task on determination of habitual

pitch. Journal of Voice, 14(4), 484-489.

11 Sobre el rendimiento judicial del LTAS

250 Gelfer, M. P., Massey, K. P., y Hollien, H. (1989). The effects of sample duration and timing on

speaker identification accuracy by means of long-term spectra. Journal of Phonetics, 17,327-338.

251 Hargraves, W. y Starkweather, J. (1963). Recognition of speaker identity. Language and Speech, 6,

63-67.

252 Hollien, H. y Majewski, W. (1977). Speaker identification by long-term spectra under normal and

distorted speech conditions. Journal of the Acoustical Society of America, 62(4), 975-980.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

12

253 Keller, E. (2003). Voice Characteristics of MARSEC Speakers. VOQUAL: Voice Quality: Functions,

Analysis and Synthesis (2003).

254 Keller, E. (2005). The analysis of voice quality in speech processing. Lecture Notes in Computer

Science, Berlín: Springer Verlag. Disponible en la dirección:

http://www.springer.de/comp/lncs/index.html.

255 Kitzing, P. (1986). LTAS criteria pertinent to the measurement of voice quality. Journal of Phonetics,

14, 477-82.

256 Klasmeyer, G. (2000). An automatic description tool for time-contours and Long-term Average voice

features in large emotional speech databases. SpeechEmotion-2000, 66-71.

257 Klingholz, F., Penning, R. y Liebhardt, E. (1988). Recognition of low-level alcohol intoxication

from speech signal, Journal of the Acoustical Society of America, 84, 929-935.

258 Leino, T. (1994). Long-Term Average Spectrum study on speaking voice quality in male actors. En

Friberg, A., Iwarsson, J., Jansson, E. y Sundberg, J. (Eds.), SMAC 93 – Proceedings of the Stockholm

Music Acoustics Conference (pp. 206-210). Estocolmo: Royal Swedish Academy of Music.

259 Lofqvist, A. (1986). The long-time-average spectrum as a tool in voice research, Journal of

Phonetics, 14, 471-476.

260 Majewski, W. y Hollien, H. (1974). Euclidean distance between long-term speech spectra as a

criterion for speaker identification. Speech Communication Seminar, Estocolmo, 1-3.

261 Molina de Figueiredo, R. (1993). A eficácia de medidas extraídas do espectro de longo termo para a

Identificação de Falantes. Cadernos de Estudos Lingüísticos, 25, 129-160.

262 Molina de Figueiredo, R. y Bernales, M. (1999). Reconocimiento de hablantes basado en el espectro

a largo tiempo. En Actas del VI Simposio Internacional de Comunicación Social (pp. 1372-1378).

Santiago de Cuba.

263 Nordenberg, M. y Sundberg, J. (2003). Effect on LTAS of vocal loudness variation. TMH Quarterly

Progress Status Report 1/2001. Disponible en la dirección:

http://www.speech.kth.se/qpsr/tmh/2003/03-45-093-100.pdf.

264 Pittam, J. (1987). The long term spectral measurement of voice quality as a social and personality

marker: A review. Language and Speech, 30,1-12.

265 Zalewski, J., Majewski, W. y Hollien, H. (1975). Cross-correlation between Long-Term Speech

Spectra as a criterion for speaker identification. Acoustics, 34, 20-24.

12 Sobre el rendimiento judicial de los rasgos temporales y de las pausas

266 Braun, A. y Schilz, J. (2009). Speaking tempo in forensic phonetics. Comunicación presentada en el

Congreso de la IAFPA 2009. Cambridge.

267 Butcher, A. (1981). Aspects of the Speech Pause. Kiel: Universität Kiel.

268 Cicres, J. (2007). Análisis discriminante de un conjunto de parámetros fonético-acústicos de las

pausas llenas para identificar hablantes. Síntesis Tecnológica, 3(2), 87-96.

269 Cicres, J. (2011). Acoustic discriminant analysis of full pauses for voice comparison. Comunicación

presentada en IAFPA 2011. Viena.

270 Clark, H. H. y Fox Tree, J. E. (2002). Using ‘uh’ and ‘um’ in spontaneous speaking. Cognition, 84,

73–111.

271 Dellwo, V. y Koreman, J. (2008). How speaker idiosyncratic is acoustically measurable speech

rhythm? Comunicación presentada en el Congreso de la IAFPA 2008, Lausana.

272 Foulkes, P., Carrol, G. y Hughes, S. (2004). Sociolinguistic and acoustic variability in filled pauses.

Comunicación presentada en el Congreso de la IAFPA 2004. Helsinki.

273 Gelfer, M. P., Massey, K. P. y Hollien, H. (1989). The effects of sample duration and timing on

speaker identification. Accuracy by means of long-term spectra. Journal of Phonetics, 17(4). 327-

338.

274 Grabe, E. y Low, E. L. (2002). Durational variability in speech and the rhythm class hypothesis. En

C. Gussenhoven y N. Warner (Eds.), Papers in Laboratory Phonology 7 (pp. 515-43). Berlín,

NuevaYork: Mouton de Gruyter.

275 Jessen, M. (2007). Forensic reference data on articulation rate in German. Science and Justice, 47,

50-67.

276 Johnson, C., Hollien, H., y Hicks Jr., J. (1984). Speaker identification utilizing selected temporal

speech features. Journal of Phonetics, 12(4), 319-326.

277 Kim, K. (2004). A forensic phonetic investigation into the duration and speech rate.

En INTERSPEECH-2004, 2353-2356.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

13

278 Koreman, J. (2006). Perceived speech rate: The effects of articulation rate and speaking style in

spontaneous speech, Journal of the Acoustical Society of America, 119, 582-596.

279 Künzel, H. J. (1997). Some general phonetic and forensic aspects of speaking tempo. Forensic

Linguistics, 4(1), 48-84. 280 Künzel, H. J., Masthof, H. R. y Köster, J.-P. (1995). The relation between speech tempo, loudness,

and fundamental frequency: An important issue in forensic speaker recognition. Science and Justice,

35, 291-295. 281 Miller, J. L., Grosjean, F. y Lomanto, C. (1984). Articulation rate and its variability in spontaneous

speech: A reanalysis and some implications, Phonetica, 41, 215–225. 282 Molina de Figueiredo, R. (1993). Variabilidade inter e intra-Falante da freqüência fundamental em

função da velocidade de emissão. Estudos Lingüísticos, XXIII, 697-704.

283 Molina de Figueiredo, R. (1994). The effects of speaking rate on inter- and intra-speaker variability

of selected speech parameters. The Phonetician, CL-67, 13.

284 Molina de Figueiredo, R. (1996). The effects of fast speech rate on some selected speech parameters.

Comunicación presentada en el 14th

Meeting of the International Association of Forensic Sciences.

Tokio.

285 Mori, L. y Paoloni, A. (2004). Sulla sociolinguistica forense: La constituzione di corpora vocali per

l’analisi della velocità di articulazione in italiano. En Atti delle XIV Giornate del GFS, Viterbo.

286 Ramus, F., Nespor, M. y Mehler, J. (1999). Correlates of linguistic rhythm in the speech signal.

Cognition, 73, 265-292.

287 Romito, L., Lio, L. y Galatà, V. (2005). Fluency articulation and speech rate as new parameters in

the speaker recognition. Comunicación presentada en el III Congreso Internacional de Fonética

Experimental. Santiago de Compostela.

288 Shriberg, E. (2001). To “errrr” is human: Ecology and acoustics of speech disfluencies. Journal of

the International Phonetic Association, 31, 153-169.

289 Tsao, Y. C. y Weismer, G. (1997). Interspeaker variation in habitual speaking rate: Evidence for a

neuromuscular component. Journal of Speech, Language, and Hearing Research, 40, 858–866.

290 Tschäpe, N., Trouvain, J., Bauer, D. y Jessen, M. Idyosincratic patterns of filled pauses.

Comunicación presentada en el Congreso de la IAFPA 2005, Marraquech.

13 Sobre el rendimiento judicial de la cualidad de la voz

291 Beck, J. M. (2004). Perceptual analysis of voice quality: The place of voice profile analysis. En W.

Hardcastle, y J. M. Beck, (Eds.), A Figure of Speech: A Festschrift for John Laver (pp. 285-322),

Nueva York: Routledge.

292 Czajkowski, A. y Dellwo, W. (2009). The effect of whispered speech on speaker discrimination by

naïve and expert listeners. Comunicación presentada en el Congreso de la IAFPA 2009. Cambridge.

293 Dellwo, V., Huckvale, M. y Ashby, M. (2007). How is individuality expressed in voice? An

introduction to speech production and description for speaker classification. En C. Müller

(Ed.), Speaker Classification I. Lecture Notes in Artificial Intelligence Series (pp. 1-20). Berlín:

Springer Verlag.

294 Evans, I. y Foulkes, P. (2009). Speaker identification in whisper. Comunicación presentada en el

Congreso de la IAFPA 2009. Cambridge.

295 Hollien, H. y Michel, J. F. (1968). Vocal fry as a phonational register. Journal of Speech and

Hearing Research, 11, 600-604.

296 Hollien, H. y Wendahl, K. W. (1968). Perceptual study of vocal fry. Journal of the Acoustical Society

o America, 43, 506-9.

297 Hurme, P. y Sonninen, A. (1985). Normal and disordered voice quality: Listening tests and long-

term spectrum analyses. Puheentutkimuksen Alalta, 6, 49-72.

298 Hurme, P. y Sonninen, A. (1992). On the terminology of voice research. Journal of Voice, 6(2), 188-

193.

299 Jessen, M. (1997). Speaker-specific information in voice quality parameters. Forensic Linguistics,

4(1), 84–103.

300 Köster, O. y Köster, J.-P. (2004). The auditory-perceptual evaluation of voice quality in forensic

speaker recognition. The Phonetician, 89, 9-37.

301 Köster, O., Jessen, M., Khairi, F. y Eckert, H. (2007). Auditory-perceptual identification of voice

quality by expert and non-expert listeners. Comunicación presentada en el XVI International

Congress of Phonetic Sciences. Saarbrücken.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

14

302 Laver, J. (1980). The Phonetic Description of Voice Quality. Cambridge: Cambridge University

Press.

303 Laver, J. (1991). The Gift of Speech. Papers in the Analysis of Speech and Voice. Edimburgo:

Edinburgh University Press.

304 Nolan, F. (2005). Forensic speaker identification and the phonetic description of voice quality. En W.

J. Hardcastle y J. Mackenzie Beck (Eds.), A Figure of Speech (pp. 385-411). Londres: Lawrence

Erlbaum Associates.

305 Nolan, F. (2007). Voice quality and forensic speaker identification. GOVOR: Casopis Za Fonetiku,

24(2), 111-128.

306 Nolan, F., French, P., McDougall, K., Stevens, L. y Hudson, T. (2011). The role of voice quality

‘settings’ in perceived voice similarity. Comunicación presentada en el Congreso de la IAFPA 2011.

Viena.

307 Wagner, I. (1995). A new jitter-algorithm to quantify hoarseness: An exploratory study. Forensic

Linguistics, 2(1), 18-27.

308 Wenndt, S. J., Cupples, E. J. y Floyd, R. M. (2002): A study on the classification of whispered and

normally phonated speech. Comunicación presentada en la International Conference on Spoken

Language Processing. Denver,

309 Yarmey, D. (2004). Commonsense beliefs, recognition and the identification of familiar and

unfamiliar speakers from verbal and non-linguistic vocalization. International Journal of Speech,

Language and the Law, 11(2), 267-277.

14 Sobre la admisibilidad y la ética de los peritajes y sobre la formulación de las conclusiones

310 Aitken, C. G. C. (2000). Statistical interpretation of evidence – Bayesian analysis. En J. A. Siegel, G.

K. Knupfer y P. J. Saukko (Eds.), Encyclopedia of Forensic Sciences (pp. 717-724). Nueva York:

Academic Press. 311 Aitken, C. G. G. y Taroni, F. (1998). A verbal scale for the interpretation of evidence. Science and

Justice, 38(4), 279-281. 312 Aitken, C. G. G. y Taroni, F. (2004). Statistics and the Evaluation of Evidence for Forensic Scientists.

Nueva York: John Wiley & Sons. 313 Bimbot, F., Chollet, G. y Paoloni, A. (1994). Assessment methodology for speaker identification and

verification systems. Comunicación presentada en el ESCA Workshop on Automatic Speaker

Recognition, Identification and Verification. Martigny.

314 Black, B., Ayala, F. J. y Saffran-Brinks, C. (1994). Science and the law in the wake of Daubert: A

new search for scientific knowledge. Texas Law Review, 72(4), 715-802.

315 Boë, L.-J. (1998). L’identification juridique de la voix: Le cas français. Historique, problématique et

propositions. Comunicación presentada en el RLA2C Workshop on Speaker Recognition and its

Commercial and Forensic Applications. Avignon.

316 Bonastre, J.-F., Bimbot, F., Boë, L.-J., Campbell, J. P., Reynolds, D. A. y Magrin-Chagnolleau, I.

(2003). Person authentication by voice: A need for caution. Comunicación presentada en

EUROSPEECH 2003. Ginebra.

317 Butters, R. R. (2009). The forensic linguist’s professional credentials. International Journal of

Speech, Language and the Law, 16(2), 237-252.

318 Champod, C. y Meuwly, D. (2000). The inference of identity in forensic speaker recognition. Speech

Communication, 31, 193-203.

319 Daubert. (1993). Daubert vs. Merrell Dow Pharmaceuticals, Inc. 509 U.S. 579, 113 S. Ct. 2786.

320 Eriksson, A. y Lacerda, F. (2007). Charlatanry in forensic speech science: A problem to be taken

seriously. International Journal of Speech, Language and the Law, 14, 169–93.

321 Eriksson, A. (2011). Presenting evidence in court: Some fundamental problems to be considered.

Comunicación presentada en el Congreso de la IAFPA 2011. Viena.

322 Evett, I. W. (1991). Interpretation: A personal odyssey. En C. G. G. Aitken y D. A. Stoney (Eds.),

The Use of Statistics in Forensic Science (pp. 9-22). Chichester: Ellis Horwood.

323 Evett, I. W. (1998). Towards a uniform framework for reporting opinions in forensic science

casework. Science and Justice, 38(3), 198-202.

324 Finegan, E. (2009). Expert linguists and the whole truth. International Journal of Speech, Language

and the Law, 16(2), 267-277.

325 French, J. P. y Harrison, P. (2006). Investigative and evidential applications of forensic speech

science. En A. Heaton-Armstrong, E. Shepherd, G Gudjonsson y D. Wolchover (Eds.), Witness

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

15

Testimony: Psychological, Investigative and Evidential Perspectives (cap. 14). Oxford: Oxford

University Press.

326 French, J. P. y Harrison, P. (2007). Position statement concerning use of impressionistic likelihood

terms in forensic speaker comparison cases. International Journal of Speech, Language and the

Law, 14(1), 137-144.

327 French, J. P., Nolan, F., Foulkes, P., Harrison, Ph. y McDougall, K. (2010). The UK position

statement on forensic speaker comparison: A rejoinder to Rose and Morrison. International Journal

of Speech, Language and the Law, 17(1), 143-152.

328 Frye. (1923). Frye vs. United States. 293 Federal Reports (1ª serie), 1013, 1014.

329 González, J., Drygajlo, A., Ramos, D., García, M. y Ortega, J. (2006). Robust estimation,

interpretation and assessment of likelihood ratios in forensic speaker recognition. Computer Speech

and Language Special Issue, 20(2-3), 331-355.

330 Good, I. J. (1991) Weight of evidence and the Bayesian Likelihood Ratio. En C. G. G. Aitken y D.

A. Stoney (Eds.), The Use of Statistics in Forensic Science (pp. 85-106). Chichester: Ellis Horwood.

331 Hodgson, D. (2002). A lawyer looks at Bayes’ Theorem. The Australian Law Journal, 76, 109-118.

332 Hollien, H. (1990). The phonetician as an expert witness: Ethics and responsabilities. En R. Rieber y

W. Stewart (Eds.), The Language Scientist as an Expert in the Legal Setting (pp. 33-45). Nueva

York: New York Academy of Sciences.

333 Ishihara, S. y Kinoshita, Y. (2008). How many do we need? Exploration of the population size effect

on the performance of forensic speaker classification. En INTERSPEECH-2008. ISCA: Brisbane,

1941-1944.

334 Law Commission (2011). Expert Evidence in Criminal Proceedings in England and Wales. Law

Com. 325. Londres: The Stationary Office.

335 Levi, J. N. (1994). Language as evidence: The linguist as expert witness in North American courts.

Forensic Linguistics, 1(1), 1-26.

336 Morrison, G. S. (2010a). Forensic voice comparison. En I. Freckelton y H. Selby (Eds.), Expert

Evidence (Capítulo 99). Sydney: Thomson Reuters.

337 Morrison, G. S., Thiruvaran, T., y Epps, J. (2010b). Estimating the precision of the likelihood-ratio

output of a forensic-voice-comparison system. Proceedings of Odyssey 2010: The Language and

Speaker Recognition Workshop, Brno, pp. 63–70.

338 Morrison, G. S. (2011a). La comparación forense de la voz y el cambio de paradigma. Cuadernos de

Trabajo del Posgrado Oficial en Estudios Fónicos, 1, 1-38.

339 Morrison, G. S. (2011b). A comparison of procedures for the calculation of forensic likelihood ratios

from acoustic-phonetic data: Multvariate kernel density (MVKD) versus Gaussian mixture model –

universal background model (GMM-UBM). Speech Communication, 53, 242–256.

340 Nolan, F. (2001). Speaker identification evidence: Its forms, limitations, and roles. En T. Salmi-

Tolonen, R. Foley e I. Tukiainen (Eds.), Proceedings of the Conference "Law and Language:

Prospect and Retrospect" (pp. 12-15). Levi: Rovaniemi. 341 Olsson, J. (2004). Forensic Linguistics. An Introduction to Language, Crime and the Law (Capítulo

3). Londres: Continuum.

342 Robertson, B. y Vignaux, G. A. (1995). Interpreting Evidence: Evaluating Forensic Science in the

Courtroom. Chichester: Wiley.

343 Rodman, R. (2002). Linguistics and the law: How knowledge of, or ignorance of, elementary

linguistics may affect the dispensing of justice. Forensic Linguistics, 9(1), 92-101.

344 Rose, Ph. (2005). Forensic Speaker Recognition at the beginning of the Twenty-First century. An

overview and a demonstration. Australian Journal of Forensic Sciences, 37(2), 49-71.

345 Rose, Ph. y Morrison, G. S. (2009). A response to the UK Position Statement on forensic speaker

comparison. International Journal of Speech, Language and the Law, 16, 139-163.

346 Shuy, R. (2009). Ethical questions in forensic linguistics. International Journal of Speech, Language

and the Law, 16(2), 219-226.

347 Stygall, G. (2009). Guiding principles: Forensic linguistics and codes of ethics in other fields and

professions. International Journal of Speech, Language and the Law, 16(2), 253-266.

348 Thompson, C. y Schumann, E. L. (1987). Interpretation of statistical evidence in criminal trials: The

prosecutor’s fallacy and the defense attorney’s fallacy. Law and Human Behaviour, 11(3), 167-187.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

16

15 Sobre la prueba pericial de voz en la legislación española

349 Banacloche Palao, J. (1998). Reconocimiento de voces como prueba válida para enervar la

presunción de inocencia. Comentario a la sentencia del Tribunal Supremo de 3 de noviembre de

1997. Revista Tribunales de Justicia, 7, 806-810.

350 B.O.E. (2010). Real Decreto de 14 de septiembre de 1882, por el que se aprueba la Ley de

Enjuiciamiento Criminal. Madrid: BOE.

351 De Diego Díez, L. A. (2003). La voz como elemento identificador del delincuente. Revista del Poder

Judicial, 69, 399-419.

352 Fungairiño, E. (2002). Notas sobre la prueba de audio en el proceso penal. Acústica Forense. Revista

Oficial de la Sociedad Española de Acústica Forense, 1, 21-32.

353 Lucena Molina, J. J. (2002). Marco legal español en la prueba pericial de voz. Acústica Forense.

Revista Oficial de la Sociedad Española de Acústica Forense, 1, 46-60.

354 Martínez Sánchez, C. (1999). Intervención en la Mesa Redonda sobre “El valor de la prueba

pericial” en el II Simposio sobre Reconocimiento de Voz con Fines Forenses, Cartagena [CD Servicio

de Informática de la Universidad Politécnica de Cartagena].

355 Morales, A. M. y Welsch, G. (2011). El reconocimiento de imputados en Chile y a nivel comparado.

Santiago de Chile: Ed. Paz Ciudadana.

356 Pérez González, L. (2005). Perspectivas del desarrollo del peritaje lingüístico en España. En M. T.

Turell, (Ed.), Lingüística forense, lengua y derecho (pp. 67-84). Barcelona: Edicions Institut

Universitari de Linguística Aplicada.

16 Sobre la identificación de voces disimuladas (transformación)

357 Clark, J. y Foulkes, P. (2007). Identification of voices in electronically disguised speech.

International Journal of Speech, Language and the Law, 14(2), 195-211.

358 Dellwo, V., Ramyead, S. y Dankovicova, J. (2009). The influence of voice disguise on temporal

characteristics of speech. Comunicación presentada en el Congreso de la IAFPA 2009. Cambridge.

359 Docherty, E. T. y Hollien, H. (1978). Multiple factor speaker identification of normal and

distorted speech. Journal of Phonetics, 6, 1-8.

360 Endres, W., Bambach, W., y Flosser, G. (1971). Voice spectrograms as a function of age, voice

disguise and voice imitation. The Journal of the Acoustical Society of America, 49, 1842–1848.

361 Eriksonn, E., Green, J., Sjöström, M., Sullivan, K. P. H. y Zetterholm, E. (2004). Perceived age: A

distractor for voice disguise and speaker identification? Comunicación presentada en Fonetik 2004.

Estocolmo.

362 Eriksson, A. (2010). The disguised voice: Imitating accents or speech styles and impersonating

individuals. En C. Llamas y D. Watt (Eds.), Language and Identities (pp.86-96). Edimburgo:

Edinburgh University Press.

363 Hirson, A. y Duckworth, M. (1993). Glottal fry and voice disguise: A case study in forensic

phonetics. Journal of Biomedical Engineering, 15, 193-208.

364 Hollien, H. y Majewski, W. (1977). Speaker identification by long-term spectra under normal and

distorted speech conditions. Journal of the Acoustical Society of America, 62(4), 975-980.

365 Hollien, H., Majewski, W., y Hollien, P. A. (1974). Speaker identification by long-term spectra under

normal, stress and disguised conditions. The Journal of the Acoustical Society of America, 55(1),

820.

366 Hollien, H., Majewski, W., y Doherty, E. T. (1982). Perceptual identification of voices under normal,

stress and disguise speaking conditions. Journal of Phonetics, 10, 139-148.

367 Künzel, H. J. (2000). Effects of voice disguise on speaking fundamental frequency. Forensic

Linguistics, 7(2), 149-179.

368 Künzel, H. J., González, J. y Ortega, J. (2004). Effect of voice disguise on the performance of a

forensic automatic speaker recognition system. Comunicacion presentada en Odissey 2004. The

Speaker and Language Recognition Workshop. Toledo.

369 Markham, D. (1999). Listeners and disguised voices: The imitation and perception of dialectal

accent. International Journal of Speech, Language and the Law, 6(2), 289-299.

370 Masthoff, H. R. (1996). A report on a voice disguise experiment. Forensic Linguistics, 3(1), 160-

167.

371 McGlone, R., Hollien, H. y Hollien, P. (1977). Acoustic analysis of voice disguise related to voice

identification. En Proceedings of the International Conference on Crime Countermeasures (pp. 31-

35). Kentucky: University of Kentucky.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

17

372 Molina de Figueiredo, R. y de Souza Britto, H. (1996). A report on the acoustic effects of one type of

disguise. Forensic Linguistics, 3(1), 168-175.

373 Molina de Figueiredo, R. (2000). Algumas considerações sobre o disfarce de voz. Estudos

Lingüísticos, XXIX, 543-548.

374 Moosmüller, S. (2001). The influence of creaky voice on formant frequency changes. International

Journal of Speech, Language and the Law, 8(1), 10-112.

375 Moosmüller, S. (2006). Articulatory avoidance. Comunicación presentada en el Congreso de la

IAFPA 2006. Gotemburgo.

376 Neuhauser, S. y Simpson, A. P. (2007). Imitated or authentic? Listeners' judgements of foreign

accents. Comunicación presentada en el XVI International Congress of Phonetic Sciences,

Saarbrücken.

377 Neuhauser, S. (2009). VOT as a parameter in identification of voice disguise. Comunicación

presentada en el Congreso de la IAFPA 2009. Cambridge.

378 Neuhauser, S. y Simpson, A. P. (2007). Phonetic correlates of accent authenticity in voice disguise.

Comunicación presentada en el Congreso de la IAFPA 2007. Plymouth.

379 Ochard, T. y Yarmey, A. (1995). The effects of whispers, voice sample duration and voice

distinctiveness on criminal speaker identification. Applied Cognitive Psychology, 31, 249-260.

380 Perrot, P. y Chollet, G. (2012). Helping the Forensic Research Institute of the French Gendarmerie to

identify a suspect in the presence of voice disguise or voice forgery. En A. Neustein y H. A. Patil

(Eds.). Forensic Speaker Recognition. Law Enforcement and Counter-Terrorism (pp.469-503).

Nueva York: Springer.

381 Perrot, P., Aversano, G. y Chollet, G. (2007). Voice disguise and automatic detection: Review and

perspectives. En Y. Stylianou, M. Faundez y A. Esposito (Eds.), Progress in Non-Linear Speech

Processing. Lecture Notes in Computer Science (pp. 101-117). Berlín: Springer Verlag.

382 Perrot, P., Preteux, C., Vasseur, S., y Chollet, G. (2007). Detection and recognition of voice disguise.

Comunicación presentada en el Congreso de la IAPFA 2007. Plymouth.

383 Reich, A. (1975). Certain effect of selected vocal disguises upon spectrographic speaker

identification. Tesis Doctoral. University of Iowa.

384 Reich, A. (1981). Detecting the presence of vocal disguise in the male voice. Journal of the

Acoustical Society of America, 69(5), 1458-60.

385 Reich, A. y Duke, J. (1979). Effects of selected vocal disguises upon speaker identification by

listening. Journal of the Acoustical Society of America, 66, 1023–1028.

386 Reich, A., Moll, K. y Curtis, J. (1976). Effects of selected vocal disguises upon spectrographic

speaker identification. Journal of the Acoustical Society of America, 60, 919– 925.

387 Rhodes, R. y Setter, J. (2009). Using the formant dynamic approach to forensic speaker comparison

in a case of voice disguise. Comunicación presentada en el Congreso de la IAFPA 2009. Cambridge.

388 Rodman, R. (1998). Speaker recognition of disguised voices. En M. Demirekler, A. Saranli, H.

Altincay y A. Paoloni (Eds.) Proceedings of the Consortium on Speech Technology Conference on

Speaker Recognition by Man and Machine: Directions for Forensic Applications (pp. 9-

22). Ankara: COST 250 Publishing Arm,

389 Rodman, R. (2003). Speaker Recognition of Disguised Voices: A Program for Research. Raleigh,

Carolina del Norte: North Carolina State University. 390 Rodman, R. y Powell, M. (2000). Computer recognition of speakers who disguise their voice. En

Proceedings of the International Conference on Signal Processing Applications and Technology

(ICSPAT2000). Dallas.

391 Rose, Ph. y Simmons, A. (1996). F-pattern variability in disguise and over the telephone.

Comparisons for forensic speaker identification. En Proceedings of the 6th Australian International

Conference on Speech Science and Technology -SST'96 (pp.127-132). Adelaida: ASSTA.

392 Sample, J. (1984). Methods of Disguise. Port Townsend: Loompanics Unlimited. 393 Shinan, L. y Almeida, A. (1986). The effects of voice disguise upon formant transitions.

Comunicación presentada en la 1986 International Conference on Acoustics, Speech, and Signal

Processing (pp. 885-88).

394 Simpson, A. P. (2007). Phonetic details of nonpulmonic stop release in German: inter- and

intraindividual variation. Comunicación presentada en el Congreso de la IAFPA 2007. Plymouth.

395 Simpson, A. P. y Neuhauser, S. (2009). Enduring nature of epiphenomenal non-pulmonic sound

production under disguise – a preliminary study. Comunicación presentada en el Congreso de la

IAFPA 2009. Cambridge.

396 Simpson, A. P. y Neuhauser, S. (2010). The persistence of ephiphenomenal sound production in

foreign accent disguise. Comunicación presentada en el Congreso de la IAFPA 2010. Trier.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

18

397 Storey, K. C. J. (1996). Constants in auditory and acoustic voice analysis in forensic speaker

identification in cases of disguised voice. En H. Kniffka y S. Blackwell (Eds.). Recent Developments

in Forensic Linguistics (pp. 203-216). Frankfurt: Lang.

398 Zhang, C. (2005). Acoustical Study on Disguised Voices. Tesis Doctoral. Nankai University.

399 Zhang, C., y Tan, T. (2008). Voice disguise and automatic speaker recognition. Forensic Science

International, 175, 118-122.

17 Sobre la identificación de voces disimuladas (conversión)

400 Bessler, P. (1991). La caricature de de Gaulle par Tissot: Étude phonostylistique.

Information/Communication, 12, 19–32.

401 Blomberg, M., Elenius, D. y Zetterholm, E. (2004). Relating acoustic features of a professional

impersonator with the score of a speaker verification system. Proceedings of Fonetik 2004.

Universidad de Estocolmo, Estocolmo.

402 Cerdà, R. (2009). Camps de dispersió vocàlica en imitacions de veu: Primers indicis d'un experiment

sobre identificació de locutor. Estudios de Fonética Experimental, 18, 65-88.

403 Eriksson, A. (1997) How flexible is the human voice? A case study of mimicry. En Proceedings of

EUROSPEECH 97 (pp. 1043-1046). Vol. II. Rodas.

404 Schlichting, F. y Sullivan, K. P H. (1998). Can voice imitation be detected in voice line-ups in a

language unknown by the listeners? Phonum. Reports in Phonetics, 6, 105-18.

405 Sullivan, K., Zetterholm, E., Van Doorn, J., Green, J., Kügler, F. y Eriksson, E. (2002). The effect of

removing semantic information upon the impact of voice imitation. Comunicación presentada en la

9th Australian International Conference on Speech Science and Technology. Melbourne.

406 Zetterholm, E. (1997). A phonetic case study of impersonation. Phonum. Reports in Phonetics, 4, 33-

36.

407 Zetterholm, E. (1997). Impersonation: a phonetic case study of the imitation of a voice. Lund

University, Department of Linguistics Working Papers, 46, 269-287.

408 Zetterholm, E. (2001). Impersonation - reproduction of speech. Lund University, Department of

LinguisticsWorking Papers, 49, 176-179.

409 Zetterholm, E. (2002a). A comparative survey of phonetic features of two impersonators.

En Proceedings of Fonetik 2002. TMH-Quarterly Progress Status Report, 44, 129-132.

410 Zetterholm, E. (2002b). Intonation pattern and duration differences in imitated speech.

Comunicación presentada en Speech Prosody 2000. An International Conference. Aix-en-Provence.

411 Zetterholm, E. (2003a).Voice Imitation. A Phonetic Study of Perceptual Illusions and Acoustic

Success. Tesis Doctoral. Travaux de l’institut de Linguistique de Lund 44, Lund University.

412 Zetterholm, E. (2003b). The same but different. Three impersonators imitate the same target voices.

Comunicación presentada en el 15th International Congress of Phonetic Sciences. Barcelona. 413 Zetterholm, E. (2005). Voice Imitation. A phonetic study of perceptual illusions and acoustic success.

International Journal of Speech, Language and the Law, 12, 133-135.

414 Zetterholm, E. (2010). Detection of imitated voices: Who are reliable earwitnesses? International

Journal of Speech, Language and the Law, 17, 25-44.

18 Sobre el “efecto del teléfono” en la comparación de voces

415 Arcienega, M. y Drygajlo, A. (2002). Robust voiced-unvoiced decision associated to continuous

pitch tracking in noisy telephone speech. En ICSLP, 2433-2436.

416 Besacier, L. Grassi, S., Dufaux, A., Ansorge, M. y Pellandini, F. (2000). GSM speech coding and

speaker recognition. Comunicación presentada en la International Conference on Acoustics, Speech

and Signal Processing. Estambul.

417 Byrne, C. y Foulkes, P. (2004). The mobile phone effect on vowel formants. International Journal of

Speech, Language and the Law, 11, 83-102.

418 Cerrato, L., Falcone, M. y Paoloni, A. (2000). Subjective age estimation of telephonic voices. Speech

Communication, 31, 107-112.

419 Chen, N. F., Shen, W., Campbell, J. y Schwartz, R. (2009). Large scale analysis or formant

frequency estimation variability in conversational telephone speech. Comunicación presentada en

INTERSPEECH-2009, Brighton.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

19

420 Foulkes, P. y Barron, A. (2000). Telephone speaker recognition amongst members of close social

network. International Journal of Speech, Language and the Law, 7, 180-198.

421 Gazit, R. Metzger, Y. y Toledo, O. (2001). Speaker verification over cellular networks.

Comunicación presentada en 2001: A Speaker Odyssey, Creta.

422 Guillemin, B. J. y Watson, C. I. (2005). Impact of the GSM AMR speech codec on formant

information important to forensic speaker identification. En P. Warren y C. I. Watson (Eds.), 11th

Australian International Conference on Speech Science and Technology (pp. 483-488). Aukland:

University of Auckland.

423 Guillemin, B. y Watson, C. I. (2008). Impact of the mobile phone network on the speech signal -

Some preliminary findings. International Journal of Speech Language and the Law, 15(2). 193-218.

424 Guillemin, B., Watson, C. I. y Dowler, S. W. (2005). Impact of the GSM-AMR speech codec on

acoustic parameters used in forensic speaker identification. Comunicación presentada en el 8th

International Symposium on DSP and Communication Systems, DSPCS'2005. Noosa Heads,

Australia.

425 Harrison, P. (2001). GSM interference cancellation for forensic audio: A report on work in progress.

Forensic Linguistics, 8(2), 9–23.

426 Hennebert, J., Melin, H., Petrovska, D. y Genoud, D. (2000). Polycost: A telephone-speech database

for speaker recognition. Speech Communication, 31, 265-270.

427 Hirson, A., French, J. P. and Howard, D. (1995). Speech fundamental frequency over the telephone

and face-to-face: Some implications for forensic phonetics. En J. Windsor Lewis (Ed.), Studies in

General and English Phonetics in Honour of Professor J. D. O’Connor (pp. 230–40). Londres:

Routledge.

428 Hirson, A. y Howard, D. M. (1994). Spectrographic analysis of a cockpit voice recorder tape.

Forensic Linguistics, 1(1), 59–69.

429 Hudson, T. McDougall, K. y Nolan, F. (2008). Effects of the telephone on perceived voice similarity.

Comunicación presentada en el Congreso de la IAFPA 2008. Lausana.

430 Jiménez, J. J. (2011). Estructura formántica y campo de dispersión de las vocales del español en

telefonía móvil. Cuadernos de Trabajo del Posgrado en Estudios Fónicos, 1, 39-58.

431 Kuitert, M. y Boves, L. (1997). Speaker verification with GSM coded telephone speech. En

Proceedings of Eurospeech’97 (pp. 975-978). Rodas.

432 Künzel, H. J. (2001). Beware of the “telephone effect”: The influence of telephone transmission on

the measurement of formant frequencies. Forensic Linguistics, 8(1), 80-99.

433 Künzel, H. J. (2002). Rejoinder to Francis Nolan’s “The ‘Telephone Effect’ on Formants: A

Response”. Forensic Linguistics, 9(1). 83-86.

434 Livijn, P. (2004). A comparison between four common ways of recording and storing speech:

Implications for forensic phonetics. En Proceedings o Fonetik’04 (pp. 104-107). Estocolmo:

Stockholm University.

435 McDougall, K., Hudson, T. yNolan, F. (2009). Voice identification accuracy following telephone and

full-bandwidth exposure to a voice. Comunicación presentada en el Congreso de IAFPA 2009.

Cambridge.

436 Moye, L. S. (1979). Study of the Effects on Speech Analysis of the Types of Degradation Occurring

in Telephony. Standard Telecommunication Laboratories, Harlow.

437 Nolan, F. (2002). The ‘telephone effect’ on formants: A response. Forensic Linguistics, 9(1), 74-82.

438 Reynolds, D. A. (1995). The effect of telephone transmission degradations on speaker recognition

performance. Comunicación presentada en la International Conference on Acoustics, Speech, and

Signal Processing. Detroit.

439 Ruiz, C. y Hernando Sacristán, E. (2005). Valoración de apuestas a priori en reconocimientos

forenses de voz en escuchas telefónicas. Comunicación presentada en el III Congreso de la Sociedad

Española de Acústica Forense. Santiago de Compostela.

440 Sanders, E., Van den Heuvel, H. y Choukri, K. (1999). Building speech databases for cellular

networks. Comunicación presentada en la Sixth European Conference on Speech Communication and

Technology (Eurospeech’99). Budapest.

441 Trawińska, A. y Kajstura, M. (2004). The inbuilt recorder of mobile phones – possibilities of

forensic speaker identification. Problems of Forensic Sciences, 57, 51–80.

442 Yarmey, A. D. (2003). Earwitness identification over the telephone and in field settings.

International Journal of Speech, Language and the Law, 10(1), 62-74.

443 Yoon, T. J., Cole, J., Hasegawa-Johnson, M. y Shih, C. (2005). Acoustic correlates of non-modal

phonation in telephone speech. Journal of the Acoustical Society of America, 117(4), 2621.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

20

19 Sobre los efectos del trascurso del tiempo: muestras de habla no contemporánea

444 Hollien, H., Green, R. y Massey, K. (1994). Longitudinal research on adolescent voice change in

males. Journal of the Acoustic Society of America, 96(5), 2646–2654.

445 Hollien, H. y Schwartz, R. (2000). Aural-perceptual speaker identification: problems with

noncontemporary samples. Forensic Linguistics, 7(2), 199–211.

446 Hollien, H. y Schwartz, R. (2001). Speaker identification utilizing noncontemporary speech. Journal

of Forensic Sciences, 46, 63–67.

447 Künzel, H. (2007). Non-contemporary speech samples: auditory detectability of an 11 year delay and

its effect on automatic speaker identification. International Journal of Speech, Language and the

Law, 14(1), 109–136.

448 Rose, Ph. (1998). A forensic phonetic investigation in non-contemporaneous variation in the F-

pattern of similar-sounding speakers. En R. H. Mannell y J. Robert-Ribes (Eds.), Proceedings of the

5th

International Conference on Spoken Language Processing (pp. 217-220). Camberra: ASSTA.

449 Rose, Ph. (1999). Long- and short-term within-speaker differences in the formants of Australian

hello. Journal of the International Phonetic Association, 29(1), 1–31.

20 Sobre los efectos en el habla de la intoxicación etílica

450 Behne, S. M. y Rivera, S. M. (1990). Effects of alcohol on speech: Acoustic analysis of Spondees.

Research on Speech Perception. Progress Report No. 16 (pp. 263-292). Bloomington: Speech

Research Laboratory, Indiana University.

451 Behne, S. M., Rivera, S. M. y Pisoni, D. B. (1991). Effects of alcohol on speech: Duration of isolated

words, sentence, and passages. Progress Report No. 17 (pp. 285-302). Bloomington: Speech

Research Laboratory, Indiana University.

452 Braun, A. (1991). Speaking while intoxicated: Phonetic and forensic aspects. En Actes du XIIème

Congrès International des Sciences Phonétiques (pp. 146-149). Aix-en-Provence: Université de

Provence.

453 Brenner, M. y Cash, J. R. (1991). Speech analysis as an index of alcohol intoxication. The Exxon

Valdez accident. Aviation, Space, and Environmental Medicine, 62(9), 893-898.

454 Chin, S. B. y Pisoni, D. B. (1997). Alcohol and Speech. San Diego: Academic Press.

455 Chin, S. B., Large, N. R. y Pisoni, D. B. (1996-1997). Effects of alcohol on the production of words

in context: A first report. Research on Spoken Language Processing, Progress Report No. 21 (pp.

403-420). Bloomington: Speech Research Laboratory, Indiana University.

456 Cooney, O. M., McGuigan, K. G., Murphy, P. J. P. y Conroy, R. M. (1988). Acoustic analysis of the

effects of alcohol on the human voice. Journal of the Acoustical Society of America, 103(5), 2895.

457 Cummings, K. E., Chin, S. B. y Pisoni, D. B. (1995). Acoustic and glottal excitation analyses of

sober vs. intoxicated speech. Research on Spoken Language Processing, Progress Report No. 20

(pp. 359-386). Bloomington: Speech Research Laboratory, Indiana University.

458 Cummings, K. E., Chin, S. B. y Pisoni, D. B. (1996). Analysis of the glottal excitation analyses of

intoxicated vs. sober speech. A first report. Comunicación presentada en el 131 Congress of the

Acoustical Society of America. Indianápolis. Indiana.

459 DeJong, G., Hollien, H., Martin, C. y Alderman, C. A. (1995). Speaking rate and alcohol intoxication.

Journal of the Acoustical Society of America, 97. 3364.

460 Dodge, R. y Benedict, F. G. (1915). Psychological Effects of Alcohol. An Experimental Investigation

of Moderate Doses of Ethyl Alcohol on a Related Group of Neuro-muscular Processes in Man.

Washington: Carnegie Institution of Washington.

461 Dunker, E. y Schlosshauer, B. (1964). Irregularities of the laryngeal vibratory pattern in healthy and

oarse persons. En D. W. Brewer (Ed.), Research Potentials in Voice Physiology (pp. 151-184).

Syracuse: State University of New York.

462 Fontan, M., Bouanna, J., Piquet, M. y Wgeux, F. (1978). Les troubles articulatoires chez l’éthylique.

Lille Médicale, 23, 529-542.

463 Forney, R. B. y Hughes, F. W. (1961). Delayed auditory feedback and ethanol: Effect on verbal and

arithmetic performace. Journal of Psychology, 52, 185-192.

464 Hollien, H. (1993). An oilspill, alcohol and the captain. Forensic Science International, 60, 97-105.

465 Hollien, H., DeJong, G. y Martin, C. A. (1998a). Production of intoxication states by actors:

Perception by lay listeners. Journal of Forensic Sciences, 6, 1153-1162.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

21

466 Hollien, H., DeJong, G. y Martin, C. A. (1998b). Suprasegmental speech shifts as a function of

intoxication level. Comunicación presentada en el International Phonetic Sciences Conference,

Bellingham, WA.

467 Hollien, H., DeJong, G., Martin, C. A., Schwartz, R. y Liljegren, K. (2001). Effects of ethanol

intoxication on speech suprasegmentals. Journal of the Acoustical Society of America, 110(6), 3189-

3206.

468 Hollien, H., Harnsberger, J. D., Martin, C., Hill, R. y Alderman, G. A. (2009). Perceiving the effects

of ethanol intoxication on voice. Journal of Voice, 23(5), 552-559.

469 Hollien, H., Liljegren, K., Martin, C. A. y DeJong, G. (1999). Prediction of intoxication levels by

speech analysis. En A. Braun (Ed.), Advances in Phonetics (pp. 40-50). Stuttgart: Franz Steiner

Verlag.

470 Hollien, H., Liljegren, K., Martin, C. A. y DeJong, G. (2001). Production of intoxication status by

actors: Acoustic and temporal characteristics. Journal of Forensic Sciences, 46(1), 68-73.

471 Hollien, H. y Martin, C. A. (1996). Conducting research on the effects of intoxication on speech.

Forensic Linguistics, 3, 107-128.

472 Hönig, F., Batliner, A. y Nöth, E. (2011). Does it groove or does it stumble. Automatic classification

of alcoholic intoxication using prosodic features. En Proceedings of INTERSPEECH-2011. Florencia. http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Hoenig11-DIG.pdf

473 Johnson, K., Pisoni, D. B. y Bernacki, R. H. (1990). Do voice recordings reveal whether a person is

intoxicated? A case study. Phonetica, 47(3/4), 215-237.

474 Johnson, K., Southwood, M. H., Schmidt, A. M., Mouli, C. M., Holmes, A. T., Armstrong, A. A.,

Critz-Crosby, P., Sutphin, S. M., Crosby, R., McCutcheon, M. J. y Wilson, A. S. (1993). A

physiological study of the effects of alcohol on speech and voice. Comunicación presentada en el

22th Annual Symposium on the Care of the Professional Voice. Voice Foundation, Filadelfia.

475 Klingholz, F., Penning, R. y Liebhart, E. (1988). Recognition of low-level of alcohol intoxication

from speech signal. Journal of the Acoustical Society of America, 84(3), 929-935.

476 Künzel, H. (1990). Influence of alcohol on speech and language. Comunicación presentada en la

American Academy of Forensic Sciences, Cincinnati, Ohio.

477 Künzel, H., Braun, A. y Eysholdt, U. (1992). Einfluβ von Alcohol auf Sprache und Stimme.

Heidelberg: Kriminalistik Verlag.

478 Künzel, H. y Braun, A. (2003). The effect of alcohol on speech prosody. En Proceedings of the XVI

International Congress of Phonetic Sciences, Barcelona, 2645-2648.

479 Lester, L. y Scousen, R. (1974). The phonology of drunkenness. En A. Bruck, R. Fox y M. W.

LaGaly (Eds.), Papers from the Parasession on Natural Phonology (pp. 233-239). Chicago: Chicago

Linguistic Society.

480 Levit, M., Huber, R., Batliner, A. y Noeth, E. (2001). Use of prosodic speech characteristics for

automated detection of alcohol intoxication. En M. Bacchiani, J. Hirchsberg, D. Litman y M.

Ostendorf (Eds.), Proceedings of the ISCA Tutorial and Research Workshop on Prosody in Speech

Recognition and Understanding (pp. 22-25), Red Bank, NJ: International Speech and

Communication Association.

481 Lewis, A. y Watt, D. (2009). The effects of alcohol intoxication on vowel articulation. Comunicación

presentada en el Congreso de la IAFPA-2009. Cambridge.

482 Martin, C. S. y Yuchtman, M. (1986). Using speech as an index of alcohol intoxication. Research on

Speech Perception. Progress Report No. 12 (pp. 413-426). Bloomington: Speech Research

Laboratory, Indiana University.

483 Menšik, R. (1999). Recognition of alcohol influence on speech. En Proceedings of Workshop on Text,

Speech and Dialogue, Plzen, 384-387.

484 Pisoni, D. B., Hathaway, S. M. y Yuchtman, M. (1985). Effects of alcohol on the acoustic-phonetic

properties of speech. Research on Speech Perception. Progress Report No. 11 (pp. 109-172).

Bloomington: Speech Research Laboratory, Indiana University.

485 Pisoni, D. B. y Martin, C. (1989). Effects of alcohol on the acoustic-phonetic properties of speech:

Perceptual and acoustic analyses. Alcoholism: Clinical Experimental Research, 13(4), 577-587.

486 Pisoni, D. B., Yuchtman, M. y Hathaway, S. M. (1986). Effects of alcohol on the acoustic-phonetic

properties of speech. En Society of Automotive Engineers (Ed.), Alcohol, Accidents, and Injuries

(pp. 131-150). Warrendale: Society of Automotive Engineers.

487 Schiel, F. (2009). Laying the foundation for in-car alcohol detection by speech. En INTERSPEECH-

2009, Brighton, pp. 983-986.

488 Schiel, F. (2011). Perception of alcoholic intoxication in speech. En INTERSPEECH-2011, Florencia,

pp. 3281-3284.

Bibliografía Temática de Fonética Judicial. Juana Gil. CSIC

22

489 Schiel, F., Heinrich, Ch. y Neumeyer, V. (2010). Rhythm and formant features for automatic alcohol

detection. En INTERSPEECH-2010, Chiba, 458-461.

490 Schiel, F., Heinrich, Ch. y Barfüsser, S. (2011), Alcohol language corpus: The first public corpus of

alcoholized German speech. Language Resources and Evaluation, Berlin-New York:Springer,

491 Sigmund, M., Prokes, A. y Zelinka, P.. (2010). Detection of alcohol in speech signal using LF model.

En Proceedings of International Conference on Artificial Intelligence and Applications, Innsbruck,

193-196.

492 Sigmund, M. y Zelinka, P. (2011). Analysis of voiced speech excitation due to alcohol intoxication.

Information Technology and Control, 40(2), 145-150.

493 Sobell, L. C. y Sobell, M. B. (1972). Effects of alcohol on the speech of alcoholics. Journal of

Speech and Hearing Research, 15, 861-868.

494 Sobell, L. C., Sobell, M. B. y Coleman, R. F. (1982). Alcohol-induced dysfluency in nonalcoholics.

Folia Phoniatrica, 34, 316-323.

495 Schuller, B., Steidl, S., Batliner, A., Schiel, F. y Krajewski, J. (2011). Speaker State Challenge.

Intoxication and Slepiness. 12th

Annual Conference of the International Speech Communication

Association (ISCA). INTERSPEECH-2011. Florencia. http://emotion-research.net/sigs/speech-

sig/is11-speaker-state-challenge

496 Stevens, K. N. (1971). Sources of inter- and intra-speaker variability in the acoustic properties of

speech sounds. En Proceedings of the VIIth International Congress of Phonetic Sciences, Montreal,

206 –232.

497 Swartz, B. L. (1992). Resistance of voice onset time variability to intoxication. Perceptual and Motor

Skills, 75, 415-424.

498 Trojan, F. y Kryspin-Exner, K. (1968). The decay of articulation under the influence of alcohol and

paraldehyde. Folia Phoniatrica, 20, 217-238.

499 Watanabe, H., Shin, T., Matsuo, H., Okuno, F., Tsuju, T., Matsuoka, M., Fukaura, J. y Matsunaga, H.

(1994). Studies on vocal fold injection and changes in pitch associated with alcohol intake. Journal

of Voice, 8, 340-346.

500 Zaimov, K. (1969). Die Sprachstörungen als Kriterium der Bewusstseinstrübungen. Psychiatrie,

Neurologie, und Medizinische Psychologie, 21, 218-225.