Presentation 2008-09-26
A speech enhancement method using spectral probability density function of non-speech segments
Arata KAWAMURA, Thanhikam WEERAWUT, Youji IIGUNI,
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Abstract(in English) In this paper, we propose a speech enhancement algorithm based on the MAP estimation using variable speech spectral distibution. To extract high quality speech signals, the proposed speech enhancer adaptively changes the speech spectral density used in the MAP estimation according to the observed spectral power. In speech segments, the speech spectral density approaches to Rayleigh distribution to keep the quality of the enhanced speech. In non-speech segments, it approaches to a delta function to reduce noise effectively. The proposed technique is effective in suppressing residual noise well. From computer experiments, we confirm the effectiveness of the proposed method.
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Keyword(in English) speech enhancement / MAP estimation / probability density function / non-speech segment
Paper # SIP2008-101,SIS2008-36
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Committee SIS
Conference Date 2008/9/18(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A speech enhancement method using spectral probability density function of non-speech segments
Sub Title (in English)
Keyword(1) speech enhancement
Keyword(2) MAP estimation
Keyword(3) probability density function
Keyword(4) non-speech segment
1st Author's Name Arata KAWAMURA
1st Author's Affiliation Department of Systems Innovation, Graduate School of Engineering Science, Osaka University()
2nd Author's Name Thanhikam WEERAWUT
2nd Author's Affiliation Department of Systems Innovation, Graduate School of Engineering Science, Osaka University
3rd Author's Name Youji IIGUNI
3rd Author's Affiliation Department of Systems Innovation, Graduate School of Engineering Science, Osaka University
Date 2008-09-26
Paper # SIP2008-101,SIS2008-36
Volume (vol) vol.108
Number (no) 214
Page pp.pp.-
#Pages 6
Date of Issue