Speaker verification against synthetic speech

With the development of the HMM-based parametric speech synthesis algorithm, it is easy for impostors to generate the synthetic speech with specific speaker´s characteristics, which is a serious threat to the state of the art speaker verification system. In this paper, we investigate the difference of Mel-cepstral (MCEP) between the natural and synthetic speech. Experiments demonstrate that we can discriminate synthetic speech from natural speech by the higher order of MCEP.