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Acoustic Compensation Methods for Body Transmitted Speech Conversion

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dc.contributor.author Daisuke Miyamoto en
dc.contributor.author Keigo Nakamura en
dc.contributor.author Tomoki Toda en
dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Kiyohiro Shikano en
dc.date.accessioned 2012-08-22T07:58:50Z en
dc.date.available 2012-08-22T07:58:50Z en
dc.date.issued 2009-04 en
dc.identifier.isbn 9781424423545 en
dc.identifier.issn 1520-6149 en
dc.identifier.uri http://hdl.handle.net/10061/8081 en
dc.description ICASSP2009: IEEE International Conference on Acoustics, Speech, and Signal Processing, April 19-24, 2009, Taipei, Taiwan. en
dc.description.abstract 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 training and conversion processes. To alleviate this problem, we propose unsupervised acoustic compensation methods for body transmitted voice conversion. Experimental results demonstrate that the proposed methods significantly reduce the quality degradation of converted speech caused by the acoustic mismatches. en
dc.language.iso en en
dc.publisher IEEE en
dc.rights Copyright 2009 IEEE en
dc.subject Acoustic Compensation en
dc.subject CSMAPLR en
dc.subject CMLLR en
dc.subject CMS en
dc.subject Body Transmitted Voice Conversation en
dc.title Acoustic Compensation Methods for Body Transmitted Speech Conversion en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 3901 en
dc.identifier.epage 3904 en
dc.relation.doi 10.1109/ICASSP.2009.4960480 en
dc.identifier.NAIST-ID 73292716 en


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