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http://dx.doi.org/10.7776/ASK.2009.28.3.279

Noise Rabust Speaker Verification Using Sub-Band Weighting  

Kim, Sung-Tak (한국정보통신대학교 공학부)
Ji, Mi-Kyong (한국정보통신대학교 공학부)
Kim, Hoi-Rin (한국정보통신대학교 공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.28, no.3, 2009 , pp. 279-284 More about this Journal
Abstract
Speaker verification determines whether the claimed speaker is accepted based on the score of the test utterance. In recent years, methods based on Gaussian mixture models and universal background model have been the dominant approaches for text-independent speaker verification. These speaker verification systems based on these methods provide very good performance under laboratory conditions. However, in real situations, the performance of speaker verification system is degraded dramatically. For overcoming this performance degradation, the feature recombination method was proposed, but this method had a drawback that whole sub-band feature vectors are used to compute the likelihood scores. To deal with this drawback, a modified feature recombination method which can use each sub-band likelihood score independently was proposed in our previous research. In this paper, we propose a sub-band weighting method based on sub-band signal-to-noise ratio which is combined with previously proposed modified feature recombination. This proposed method reduces errors by 28% compared with the conventional feature recombination method.
Keywords
Speaker Verification; Modified Feature Recombination; Sub-Band Reliability; Sub-Band Weighting;
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