Robustness of bit-stream based features for speaker verification

The paper presents a speaker verification system that uses the YOHO database which has been coded to the ITU-T G.729 standard. A set of bitstream based features, consisting of 16 LPC cepstral coefficients and MFCC derived from the quantized line spectral pairs as well as residual information in the form of pitch, was utilized to construct the speakers' models, and their robustness was studied under white noise conditions. Results suggest that, using a cohort model, MFCC are more robust under noise conditions than LPC cepstral coefficients; the addition of pitch to the feature vector contributes from a 16% to a 29% of improvement in verification performance under different noise conditions.