Phonetic class-based speaker verification

Phonetic Class-based Speaker Verification (PCBV) is a natu- ral refinement of the traditional single Gaussian Mixture Model (Single GMM) scheme. The aim is to accurately model the voice characteristics of a user on a per-phonetic class basis. The paper describes briefly the implementation of a representation of the voice characteristics in a hierarchy of phonetic classes. We present a framework to easily study the effect of the mod- eling on the PCBV. A thorough study of the effect of the mod- eling complexity, the amount of enrollment data and noise con- ditions is presented. It is shown that Phoneme-based Verifica- tion (PBV), a special case of PCBV, is the optimal modeling scheme and consistently outperforms the state-of-the-art Single GMM modeling even in noisy environments. PBV achieves to relative error rate reduction while cutting the speaker model size by and CPU by .

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