Forensic Speaker Recognition in Chinese: A Multivariate Likelihood Ratio Discrimination on |i| and |y|

被引：0

作者：

Zhang, Cuiling ^{[1
,2
]}

Morrison, Geoffrey Stewart ^{[2
]}

Rose, Philip ^{[2
]}

机构：

[1] China Criminal Police Univ, Dept Forens Sci & Technol, Shenyang, Liaoning, Peoples R China

[2] Australian Natl Univ, Sch Language Studies, Canberra, ACT, Australia

来源：

INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 | 2008年

关键词：

forensic speaker recognition; likelihood ratio; Chinese;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1937 / +

页数：2