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 beco...

Full description

Saved in:
Bibliographic Details
Published in2013 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 7874 - 7877
Main Authors LianWu Chen, Wu Guo, Yan Song, LiRong Dai
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2013
Subjects
Context
Decision trees
Hidden Markov models
High-temperature superconductors
Natural languages
phoneme variation
speaker verification
Speech
Speech synthesis
synthesized speech discrimination
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2013.6639197