Phoneme variation based synthesized speech discrimination for speaker verification
How to discriminate the synthesized speech from the natural speech for speaker verification is addressed in this paper. With the development of HMM-based speech synthesis, it is easy to obtain high quality synthesized speech which sounds like target speaker, the robustness of synthesized speech become important for speaker verification. In this paper, a method based on the phoneme variation is proposed to discriminate synthesized speech from natural speech, which could be used as front-end module to detect the synthesized speech for speaker verification system. The experimental results show the effectiveness of the proposed method.