Presentation 2009-01-30
Acoustic Compensation Algorithms for Body Transmitted Speech Conversion
Daisuke MIYAMOTO, Keigo NAKAMURA, Tomoki TODA, Hiroshi SARUWATARI, Kiyohiro SHIKANO,
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Abstract(in English) Statistical voice conversion is very effective for enhancing body transmitted speech recorded with Non-Audible Murmur (NAM) microphone. In this method, a probabilistic model to convert body transmitted speech into natural speech is trained previously. Because acoustic characteristics of body transmitted speech is sensitive to recording conditions such as a location of NAM microphone, significant degradation of the conversion performance is often caused in practical situations by acoustic mismatches between the training and the conversion processes. To alleviate this problem, we propose unsupervised acoustic compensation methods for body transmitted voice conversion. Experimental results demonstrate that the proposed methods dramatically reduce the quality degradation of converted speech caused by the acoustic mismatches.
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Keyword(in English) Body transmitted voice conversion / Acoustic compensation / CMS / CMLLR / CSMAPLR
Paper # SP2008-132
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Committee SP
Conference Date 2009/1/22(1days)
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Paper Information
Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Acoustic Compensation Algorithms for Body Transmitted Speech Conversion
Sub Title (in English)
Keyword(1) Body transmitted voice conversion
Keyword(2) Acoustic compensation
Keyword(3) CMS
Keyword(4) CMLLR
Keyword(5) CSMAPLR
1st Author's Name Daisuke MIYAMOTO
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Keigo NAKAMURA
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Tomoki TODA
3rd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
4th Author's Name Hiroshi SARUWATARI
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
5th Author's Name Kiyohiro SHIKANO
5th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2009-01-30
Paper # SP2008-132
Volume (vol) vol.108
Number (no) 422
Page pp.pp.-
#Pages 6
Date of Issue