Forensic Speaker Recognition in Chinese: A Multivariate Likelihood Ratio Discrimination on /i/ and /y/
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...[Show more]
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|Source:||Proceedings of Interspeech 2008 incorporating SST 2008|
|01_Zhang_Forensic_Speaker_Recognition_2008.pdf||370.72 kB||Adobe PDF||Request a copy|
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