An excitation model based on inverse filtering for speech analysis and synthesis

@article{Wen2011AnEM,
  title={An excitation model based on inverse filtering for speech analysis and synthesis},
  author={Zhengqi Wen and Jianhua Tao},
  journal={2011 IEEE International Workshop on Machine Learning for Signal Processing},
  year={2011},
  pages={1-5}
}
Speech Synthesized in LPC-like vocoders suffered from a typical buzz problem. It is mostly due to the fact that the excitation is either a pulse train or a white Gaussian noise. In this paper, a new excitation model is proposed to reconstruct residual signal derived from inverse filtering. A residual frame of two-pitch periods length is intercepted to do spectrum analysis in every speech frame. Amplitude spectrum of only half of pitch period length is preserved in synthesis stage and zero-phase… CONTINUE READING

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