Sinusoidal modeling using wavelet packet transform applied to the analysis and synthesis of speech signals

  • Authors:
  • Kihong Kim;Jinkeun Hong;Jongin Lim

  • Affiliations:
  • Graduate School of Information Security, Korea University, Seoul, South Korea;Division of Information and Communication, Cheonan University, Chungnam, South Korea;Graduate School of Information Security, Korea University, Seoul, South Korea

  • Venue:
  • TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
  • Year:
  • 2005

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Abstract

The sinusoidal model has proven useful for representation and modification of speech and audio signal. One drawback, however, is that a sinusoidal model is typically derived using a fixed analysis frame size. It cannot guarantee an optimal spectral resolution to each sinusoidal parameter. In this paper, we propose a sinusoidal model using wavelet packet analysis, to obtain better frequency resolution at low frequencies and better time resolution at high frequencies and to estimate the sinusoidal parameters more accurately. Experiments show that the proposed model can achieve better performance than conventional model.