Estimation of fundamental frequency of reverberant speech by utilizing complex cepstrum analysis

Material type: 文書・図像類

Author: Unoki, Masashiほか

Publisher: 北陸先端科学技術大学院大学情報科学研究科

Publication date: 2007-06-18

Material Format: Digital

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Note (General)：: This paper reports the comparative evaluations of twelve typical methods of estimating fundamental frequency (F_0) over huge speech-sound datasets in ...

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Material Type: 文書・図像類
Title: Estimation of fundamental frequency of reverberant speech by utilizing complex cepstrum analysis
Author/Editor: Unoki, Masashi
Hosorogiya, Toshihiro
Author Heading: Unoki, Masashi
Hosorogiya, Toshihiro
Publication, Distribution, etc.: 北陸先端科学技術大学院大学情報科学研究科
Publication Date: 2007-06-18
Publication Date (W3CDTF): 2007-06-18
Periodical title: Research report (School of Information Science, Japan Advanced Institute of Science and Technology)
No. or year of volume/issue: IS-RR-2007-008
Volume: IS-RR-2007-008
Pages: 1-14
ISSN (Periodical Title): ISSN : 0918-7553
Text Language Code: eng
Subject Heading: Fundamental frequency (F_0)
F_0 estimation
reverberant speech
complex cepstrum analysis
MTF concept
source-filter model
Target Audience: 一般
Note (General): This paper reports the comparative evaluations of twelve typical methods of estimating fundamental frequency (F_0) over huge speech-sound datasets in artificial reverberant environments. They involve several classic algorithms such as Cepstrum, AMDF, LPC, and modified autocorrelation algorithms. Other methods involve a few modern instantaneous amplitude- and/or frequency-based algorithms, such as TEMPO, IFHC, and PHIA. The comparative results revealed that the percentage correct rates and SNRs of the estimated F_0s were reduced drastically as reverberation time increased. They also demonstrated that homomorphic (complex cepstrum) analysis and the concept of the source-filter model were relatively effective for estimating F_0 from reverberant speech. This paper thus proposes a new method of robustly and accurately F_0 estimating in reverberant environments, by utilizing the MTF concept and the source-filter model on the complex cepstrum analysis. The MTF concept is used in this method to eliminate dominant reverberant characteristics from observed reverberant speech. The source-filter model (liftering) is used to extract source information from the processed cepstrum. Finally, F_0s are estimated from them by using the comb-filtering method. Additive-comparative evaluation was carried out on the proposed method with other typical methods. The results demonstrated that it was better than the previously reported methods in terms of robustness and providing accurate F_0 estimates in reverberant environments.
リサーチレポート（北陸先端科学技術大学院大学情報科学研究科）
identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/3735
Format (IMT): application/pdf
Source: https://dspace.jaist.ac.jp/dspace/bitstream/10119/3735/1/62-1.pdf
https://dspace.jaist.ac.jp/dspace/bitstream/10119/3735/1/62-1.pdf
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 北陸先端科学技術大学院大学 : JAIST学術研究成果リポジトリ