Effectiveness of PLP-based phonetic segmentation for speech synthesis

@article{Shah2014EffectivenessOP,
  title={Effectiveness of PLP-based phonetic segmentation for speech synthesis},
  author={Nirmesh J. Shah and Bhavik B. Vachhani and Hardik B. Sailor and Hemant A. Patil},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={270-274}
}
  • Nirmesh J. Shah, Bhavik B. Vachhani, +1 author Hemant A. Patil
  • Published in
    IEEE International Conference…
    2014
  • Computer Science
  • In this paper, use of Viterbi-based algorithm and spectral transition measure (STM)-based algorithm for the task of speech data labeling is being attempted. In the STM framework, we propose use of several spectral features such as recently proposed cochlear filter cepstral coefficients (CFCC), perceptual linear prediction cepstral coefficients (PLPCC) and RelAtive SpecTrAl (RASTA)-based PLPCC in addition to Mel frequency cepstral coefficients (MFCC) for phonetic segmentation task. To evaluate… CONTINUE READING

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