Exploring different attributes of source information for speaker verification with limited test data

This work explores mel power difference of spectrum in subband, residual mel frequency cepstral coefficient, and discrete cosine transform of the integrated linear prediction residual for speaker verification under limited test data conditions. These three source features are found to capture differ...

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Bibliographic Details
Published in:The Journal of the Acoustical Society of America 2016-07, Vol.140 (1), p.184-190
Main Authors: Das, Rohan Kumar, Mahadeva Prasanna, S. R.
Format: Article
Language:English
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Summary:This work explores mel power difference of spectrum in subband, residual mel frequency cepstral coefficient, and discrete cosine transform of the integrated linear prediction residual for speaker verification under limited test data conditions. These three source features are found to capture different attributes of source information, namely, periodicity, smoothed spectrum information, and shape of the glottal signal, respectively. On the NIST SRE 2003 database, the proposed combination of the three source features performs better [equal error rate (EER): 20.19%, decision cost function (DCF): 0.3759] than the mel frequency cepstral coefficient feature (EER: 22.31%, DCF: 0.4128) for 2 s duration of test segments.
ISSN:0001-4966
1520-8524
DOI:10.1121/1.4954653