Forensic speaker recognition in Chinese: A multivariate likelihood ratio discrimination on /i/ and /y/

Cuiling Zhang; Geoffrey Stewart Morrison; Philip Rose

Forensic speaker recognition in Chinese: A multivariate likelihood ratio discrimination on /i/ and /y/

Cuiling Zhang^*, Geoffrey Stewart Morrison, Philip Rose

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

14 Citations (Scopus)

Abstract

A likelihood-ratio-based forensic speaker discrimination was conducted using the mean formant frequencies of Standard Chinese /i/ and /y/ tokens produced by 64 male speakers. The speech data were relatively forensically realistic in that they were relatively extemporaneous, were recorded over the telephone, and were from three non-contemporaneous recording sessions. A multivariate-kernel-density formula was used to calculate cross-validated likelihood ratios comparing all possible same-speaker and different-speaker combinations across sessions. Results were comparable with those previously obtained with laboratory speech in other languages. In general, greater strength of evidence was obtained for recording sessions separated by one week than for recording sessions separated by one month.

Original language	English
Pages (from-to)	1937-1940
Number of pages	4
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication status	Published - 2008
Event	INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, QLD, Australia Duration: 22 Sept 2008 → 26 Sept 2008

Cite this

@article{d68846edfeb6452fabc790b9d7e82e05,

title = "Forensic speaker recognition in Chinese: A multivariate likelihood ratio discrimination on /i/ and /y/",

abstract = "A likelihood-ratio-based forensic speaker discrimination was conducted using the mean formant frequencies of Standard Chinese /i/ and /y/ tokens produced by 64 male speakers. The speech data were relatively forensically realistic in that they were relatively extemporaneous, were recorded over the telephone, and were from three non-contemporaneous recording sessions. A multivariate-kernel-density formula was used to calculate cross-validated likelihood ratios comparing all possible same-speaker and different-speaker combinations across sessions. Results were comparable with those previously obtained with laboratory speech in other languages. In general, greater strength of evidence was obtained for recording sessions separated by one week than for recording sessions separated by one month.",

keywords = "Chinese, Forensic speaker recognition, Likelihood ratio",

author = "Cuiling Zhang and Morrison, {Geoffrey Stewart} and Philip Rose",

year = "2008",

language = "English",

pages = "1937--1940",

journal = "Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH",

issn = "2308-457X",

note = "INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association ; Conference date: 22-09-2008 Through 26-09-2008",

}

Forensic speaker recognition in Chinese: A multivariate likelihood ratio discrimination on /i/ and /y/. / Zhang, Cuiling; Morrison, Geoffrey Stewart; Rose, Philip.
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2008, p. 1937-1940.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Forensic speaker recognition in Chinese

T2 - INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association

AU - Zhang, Cuiling

AU - Morrison, Geoffrey Stewart

AU - Rose, Philip

PY - 2008

Y1 - 2008

N2 - A likelihood-ratio-based forensic speaker discrimination was conducted using the mean formant frequencies of Standard Chinese /i/ and /y/ tokens produced by 64 male speakers. The speech data were relatively forensically realistic in that they were relatively extemporaneous, were recorded over the telephone, and were from three non-contemporaneous recording sessions. A multivariate-kernel-density formula was used to calculate cross-validated likelihood ratios comparing all possible same-speaker and different-speaker combinations across sessions. Results were comparable with those previously obtained with laboratory speech in other languages. In general, greater strength of evidence was obtained for recording sessions separated by one week than for recording sessions separated by one month.

AB - A likelihood-ratio-based forensic speaker discrimination was conducted using the mean formant frequencies of Standard Chinese /i/ and /y/ tokens produced by 64 male speakers. The speech data were relatively forensically realistic in that they were relatively extemporaneous, were recorded over the telephone, and were from three non-contemporaneous recording sessions. A multivariate-kernel-density formula was used to calculate cross-validated likelihood ratios comparing all possible same-speaker and different-speaker combinations across sessions. Results were comparable with those previously obtained with laboratory speech in other languages. In general, greater strength of evidence was obtained for recording sessions separated by one week than for recording sessions separated by one month.

KW - Chinese

KW - Forensic speaker recognition

KW - Likelihood ratio

UR - http://www.scopus.com/inward/record.url?scp=84867197702&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84867197702

SN - 2308-457X

SP - 1937

EP - 1940

JO - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

JF - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Y2 - 22 September 2008 through 26 September 2008

ER -

Forensic speaker recognition in Chinese: A multivariate likelihood ratio discrimination on /i/ and /y/

Abstract

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