A Context-Dependent Sequential Decision for Speaker Verification
نویسندگان
چکیده
This paper presents an improved method of speaker verification using the sequential probability ratio test (SPRT), which can treat the correlation between successive feature vectors. The hidden Markov model with the mean field approximation enables us to consider the correlation in the SPRT, i.e., using the mean field of previous state, probability computation can be carried out as if input samples were independent each other. key words: speaker verification, sequential probability ratio test, sequential decision, mean field approximation, HMM
منابع مشابه
Sequential Decision Fusion of Multibiometrics applied to Text-Dependent Speaker Verification for Controlled Errors
iv Chapter
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