Speaker verification using phoneme-adapted Gaussian Mixture Models

Dan Gutman, Yuval Bistritz

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations


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 languageEnglish
Article number7071986
JournalEuropean Signal Processing Conference
StatePublished - 27 Mar 2002
Event11th European Signal Processing Conference, EUSIPCO 2002 - Toulouse, France
Duration: 3 Sep 20026 Sep 2002


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