Despite intuitive expectation and experimental evidence that phonemes contain useful speaker discriminating information, phoneme-based speaker recognition systems reported so far were not found to perform better than phoneme-independent speaker recognition systems based on Gaussian Mixture Model (GMM). The paper proposes a new phoneme-based speaker verification technique that uses models obtained by adaptation of well-trained speaker GMMs. The new proposed system was found to consistently outperform comparable sized phoneme-independent GMM based speaker verification systems in experiments held with clean and telephone speech databases.
|Journal||European Signal Processing Conference|
|State||Published - 27 Mar 2002|
|Event||11th European Signal Processing Conference, EUSIPCO 2002 - Toulouse, France|
Duration: 3 Sep 2002 → 6 Sep 2002