Presentation 1998/1/23
Fundamental Frequency Extraction In Noisy Environments
Hajime KOBAYASHI, Tetsuya SHIMAMURA, Jouji SUZUKI,
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Abstract(in English) Fundamental frequency of speech signals is a charactistic parameter needed in wide fields of speech processing. Many algorithms to detect the fundamental frequency have been proposed in the past. However, we do not have a promising method in any environment. In this paper we propose a new algorithm to detect the fundamental frequency of speech signals in noisy environments, which is an improved version of the Cepstrum method. Harmonics structure corrupted by noise have little period in high frequency domain, and spectral valleys are affected by noise. In the proposed method, these unnecessary parts in spectra are removed in effect the fundamental frequency. Simulation experiments suggeset that gross pitch error is lower in the proposed method than in the methods presented in the past. Particularly, the fundamental frequency of female voices and voices corrupted by periodic noise are accurately extracted in the proposed method than in the conventional methods.
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Keyword(in English) Fundamental frequency / Harmonics structure / Cripping / Band limitation / Cepstrum method
Paper # SP97-95
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Committee SP
Conference Date 1998/1/23(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Fundamental Frequency Extraction In Noisy Environments
Sub Title (in English)
Keyword(1) Fundamental frequency
Keyword(2) Harmonics structure
Keyword(3) Cripping
Keyword(4) Band limitation
Keyword(5) Cepstrum method
1st Author's Name Hajime KOBAYASHI
1st Author's Affiliation Department of Information and Computer Sciences, Faculty of Engineering, Saitama University()
2nd Author's Name Tetsuya SHIMAMURA
2nd Author's Affiliation Department of Information and Computer Sciences, Faculty of Engineering, Saitama University
3rd Author's Name Jouji SUZUKI
3rd Author's Affiliation Department of Information and Computer Sciences, Faculty of Engineering, Saitama University
Date 1998/1/23
Paper # SP97-95
Volume (vol) vol.97
Number (no) 505
Page pp.pp.-
#Pages 8
Date of Issue