DocumentCode
3161995
Title
Phoneme based speaker verification by Gaussian mixture models with adaptation of subsets of dominant parameters and phonemes
Author
Gutman, Dan ; Bistritz, Yuval
Author_Institution
Dept. of Electr. Eng. Syst., Tel Aviv Univ., Israel
fYear
2002
fDate
1 Dec. 2002
Firstpage
246
Abstract
This paper reports further results of speaker verification based on modelling the speaker´s phoneme by GMM (Gaussian mixture models) (D. Gutman et al, European SIGPRO Conf., Sept. 2002). In this approach, the speaker´s phonemes are represented by phoneme adapted Gaussian mixture models (PA-GMM) that are basically models for phonemes of speakers obtained by Bayesian adaptation of general phoneme-independent speaker models.
Keywords
Bayes methods; Gaussian processes; speaker recognition; PA-GMM; dominant parameter/phoneme subsets; general phoneme-independent speaker model Bayesian adaptions; phoneme adapted Gaussian mixture models; phoneme based speaker verification; speaker recognition; Adaptation model; Bayesian methods; Cepstrum; Concatenated codes; Coordinate measuring machines; Databases; Speech; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineers in Israel, 2002. The 22nd Convention of
Print_ISBN
0-7803-7693-5
Type
conf
DOI
10.1109/EEEI.2002.1178439
Filename
1178439
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