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A Study on the Technique of Spectrum Flattening for Improved Pitch Detection  

강은영 (숭실대학교 정보통신공학과 대학원)
배명진 (숭실대학교 정보통신공학과 대학원)
민소연 (숭실대학교 전자공학과 대학원)
Publication Information
The Journal of the Acoustical Society of Korea / v.21, no.3, 2002 , pp. 310-314 More about this Journal
Abstract
The exact pitch (fundamental frequency) extraction is important in speech signal processing like speech recognition, speech analysis and synthesis. However the exact pitch extraction from speech signal is very difficult due to the effect of formant and transitional amplitude. So in this paper, the pitch is detected after the elimination of formant ingredients by flattening the spectrum in frequency region. The effect of the transition and change of phoneme is low in frequency region. In this paper we proposed the new flattening method of log spectrum and the performance was compared with LPC method and Cepstrum method. The results show the proposed method is better than conventional method.
Keywords
Pitch extraction; Flattening method; Autocorrelation method;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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