Presentation	2000/7/17 A Study of Pitch Period Extraction Based on the Multiresolution Analysis of Speech Signals Naofumi Aoki,
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Abstract(in English)	This paper focuses on the pitch extraction technique based on the multiresolution analysis of speech signals. The conventional method potentially issues erroneous results for voiced consonants since it does not consider the case in which speech signals simultaneously show both voiced and unvoiced feature. The speech formants can also potentially cause the errors. In order to mitigate these problems, the proposed method employs the LPC inverse filtering and makes voiced/unvoiced decisions by evaluating the periodicity of extracted the local peaks. The proposed method was evaluated as much useful than the conventional method due to the above improvement.
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Keyword(in English)	pitch extraction / multiresolution analysis / dyadic wavelet transform / linear predictive analysis
Paper #	DSP2000-65,SST2000-24
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Conference Information
Committee	DSP
Conference Date	2000/7/17(1days)
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Paper Information
Registration To	Digital Signal Processing (DSP)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	A Study of Pitch Period Extraction Based on the Multiresolution Analysis of Speech Signals
Sub Title (in English)
Keyword(1)	pitch extraction
Keyword(2)	multiresolution analysis
Keyword(3)	dyadic wavelet transform
Keyword(4)	linear predictive analysis
1st Author's Name	Naofumi Aoki
1st Author's Affiliation	Graduate School of Engineering, Hokkaido University()
Date	2000/7/17
Paper #	DSP2000-65,SST2000-24
Volume (vol)	vol.100
Number (no)	209
Page	pp.pp.-
#Pages	6
Date of Issue