Abstract
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.
Original language | English |
---|---|
Article number | 7071986 |
Journal | European Signal Processing Conference |
Volume | 2002-March |
State | Published - 27 Mar 2002 |
Event | 11th European Signal Processing Conference, EUSIPCO 2002 - Toulouse, France Duration: 3 Sep 2002 → 6 Sep 2002 |