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Fundamental Frequency Estimation based on Time-Frequency Analysis  

Iem Byeong-Gwan (강릉대 공대 전자공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.55, no.1, 2006 , pp. 31-34 More about this Journal
Abstract
A simple robust fundamental frequency estimator on the time-frequency domain is proposed. Combined with the appropriately designed low-pass filter, the instantaneous frequency estimator based on the Teager-Kaiser energy function can detect the fundamental frequency of speech signal. The Teager-Kaiser function can be obtained through real computation and show the change of frequency as time goes. And when a speech block with N samples is processed with a lowpass fille. with length of L, it requires $O(N{\cdot}(L+5))operations,$ compared to $O(N{\cdot}2log_2N+L))operations$ in the recently introduced wavelet and conventional instantaneous frequency method. The computer simulation confirms the usefulness of the proposed fundamental frequency estimation method.
Keywords
Instantaneous Frequency; Fundamental Frequency; Pitch;
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1 P. Lynn and W. Fuerst. Introductory Digital Signal Processing with Computer Applications, Wiley, 2000
2 P. Maragos, J. Kaiser, T. Quatieri, 'On amplitude and frequency demodulation using energy operator', IEEE Trans. On Signal Processing, vol. 41, pp. 1532-1550, April, 1993   DOI   ScienceOn
3 P. Maragos, J. Kaiser, T. Quatieri, 'Energy separation in signal modulations with application to speech analysis', IEEE Trans. On Signal Processing, vol. 41, pp. 3024-3051, October, 1993   DOI   ScienceOn
4 D. Liu and C. Lin, 'Fundamental frequency estimation based on the joint time-frequency analysis of harmonic spectral structure', IEEE Trans. On Speech and Audio Processing, vol. 9, pp. 609-621, September, 2001   DOI   ScienceOn
5 F. Hlawatsch and G.F. Boudreaux-Bartels, 'Linear and Quadratic Time-Frequency representations,' IEEE Signal Processing Magazine, 1990   DOI   ScienceOn
6 L. Janer, 'New pitch detection algorithm based on wavelet transform', IEEE TF/TS symposium, pp. 165-168, Pittsburgh, PA, Oct. 1998   DOI
7 S. Kadambe, G.F. Boudreaux-Bartels, 'Application of the Wavelet transform for pitch detection of speech signals', IEEE Trans. On Information theory, vol. 38, pp. 917-924, March, 1992   DOI   ScienceOn
8 L. Qiu, H. Yang, S. Koh, 'Fundamental frequency determination based on instantaneous frequency estimation', Signal Processing, vol. 44, pp.233-241. 1995   DOI   ScienceOn
9 T. Quatieri, Discrete-Time Speech Signal Processing: Principles and Practice, Prentice-Hall, 2002