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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Optimum MVF Estimation-Based Two-Band Excitation for HMM-Based Speech Synthesis

  • Han, Seung-Ho (Department of Information and Communications Engineering, KAIST) ;
  • Jeong, Sang-Bae (Department of Electronics Engineering (ERI), Gyeongsang National University) ;
  • Hahn, Min-Soo (Department of Information and Communications Engineering, KAIST)
  • Received : 2009.03.16
  • Accepted : 2009.05.06
  • Published : 2009.08.30
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Abstract

The optimum maximum voiced frequency (MVF) estimation-based two-band excitation for hidden Markov model-based speech synthesis is presented. An analysis-by-synthesis scheme is adopted for the MVF estimation which leads to the minimum spectral distortion of synthesized speech. Experimental results show that the proposed method significantly improves synthetic speech quality.

Keywords

References

  1. T. Yoshimura et al., “Simultaneous Modeling of Spectrum, Pitch and Duration in HMM-Based Speech Synthesis,” Proc. EUROSPEECH, vol. 5, 1999, pp. 2347-2350.
  2. T. Fukada et al., “An Adaptive Algorithm for Mel-Cepstral Analysis of Speech,” Proc. ICASSP, vol. 1, 1992, pp. 137-140.
  3. T. Yoshimura et al., “Mixed Excitation for HMM-Based Speech Synthesis,” Proc. EUROSPEECH, vol. 3, 2001, pp. 2263-2266.
  4. S. Kim, J. Kim, and M. Hahn, “HMM-Based Korean Speech Synthesis System for Hand-Held Devices,” IEEE Trans. Consum. Electron., vol. 52, no. 4, Nov. 2006, pp. 1384-1390. https://doi.org/10.1109/TCE.2006.273160
  5. X. Huang, A. Acero, and H.-W. Hon, Spoken Language Processing: A Guide to Theory, Algorithm, and System Development, Prentice Hall, New Jersey, 2001.

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