Journal of Shanghai University (English Edition)

, Volume 9, Issue 4, pp 309–313

A new pitch detection algorithm based on wavelet transform

Authors

  • Song Bing 
    • Department of Mathematics, College of SciencesShanghai University
  • Gu Chuan-qing 
    • Department of Mathematics, College of SciencesShanghai University
  • Zhang Jian-jun 
    • Department of Mathematics, College of SciencesShanghai University
Applied Mathematics And Mechanics

DOI: 10.1007/s11741-005-0042-x

Cite this article as:
Song, B., Gu, C. & Zhang, J. J. of Shanghai Univ. (2005) 9: 309. doi:10.1007/s11741-005-0042-x

Abstract

In tins paper, a new event detection pitch detector based on the dyadic wavelet transform was constructed by selecting an optimal scale. The proposed pitch detector is accurate, robust to noise and computationally simple. Experiments show the superior performance of this event-based pitch detector in comparison with previous event-based pitch detector and classical pitch detectors that use the autocorrelation and the cepstrum methods to estimate the pitch period.

Key words

glottal closure instants dyadic wavelet transform pitch detection optimal scale

MSC 2000

94A13

Copyright information

© Shanghai University 2005