TY - JOUR
T1 - Speaker verification using phoneme-adapted Gaussian Mixture Models
AU - Gutman, Dan
AU - Bistritz, Yuval
N1 - Publisher Copyright:
© 2002 EUSIPCO.
PY - 2002/3/27
Y1 - 2002/3/27
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84960897642&partnerID=8YFLogxK
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AN - SCOPUS:84960897642
SN - 2219-5491
VL - 2002-March
JO - European Signal Processing Conference
JF - European Signal Processing Conference
M1 - 7071986
T2 - 11th European Signal Processing Conference, EUSIPCO 2002
Y2 - 3 September 2002 through 6 September 2002
ER -