A Comparative Performance of Various Speech Analysis-Synthesis Techniques

نویسندگان

  • Ankita N. Chadha
  • Jagannath H. Nirmal
  • Pramod Kachare
چکیده

In this paper, we present a comparative performance of the various analysis-synthesis techniques which separate the acoustic parameters and allow the reconstruction of the speech signal, which is very close to original speech. The analysis-synthesis of speech signal is used for speech enhancement, speech coding, speech synthesis, speech modification and voice conversion. Our comparative study includes Linear Predictive Coder, Cepstral Coder, Harmonic Noise Model based coder and Mel-Cepstrum Envelope with Mel Log Spectral Approximation. The comparative performance of these vocoders is evaluated using different objective measures namely line spectral distortion, Mel cepstral distortion and signal to noise ratio. Along with objective measures, subjective measure, mean opinion score is also considered to evaluate the quality and naturalness of the resynthesized speech in term of original speech.

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تاریخ انتشار 2014