Prediction of Cepstral Excitation Pulses for Voice Conversion
Identifieur interne : 001852 ( Hal/Checkpoint ); précédent : 001851; suivant : 001853Prediction of Cepstral Excitation Pulses for Voice Conversion
Auteurs : Fadoua Bahja [Maroc] ; Joseph Di Martino [France] ; El Hassan Ibn Elhaj [Maroc] ; Driss Aboutajdine [Maroc]Source :
Abstract
Voice conversion is one of useful techniques to enhance pathological speech to be perceived as normal speech, although it concerns also the modifications of normal source speaker's speech to be perceived as if a target speaker had uttered it. The parameters to be converted are obtained by matching the spectral envelope of the vocal tract for the source and the target speech. Gaussian Mixture Models (GMMs) parameters are determined for providing conversion functions. The main contribution of our study consists in the prediction of Fourier cepstrum coefficients related to the excitation signal. Such a prediction leads to a satisfactory voice conversion system. Subjective perceptual results indicate that the proposed approach yields significant improvements in quality of the converted voice.
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xml:lang="en">Voice conversion is one of useful techniques to enhance pathological speech to be perceived as normal speech, although it concerns also the modifications of normal source speaker's speech to be perceived as if a target speaker had uttered it. The parameters to be converted are obtained by matching the spectral envelope of the vocal tract for the source and the target speech. Gaussian Mixture Models (GMMs) parameters are determined for providing conversion functions. The main contribution of our study consists in the prediction of Fourier cepstrum coefficients related to the excitation signal. Such a prediction leads to a satisfactory voice conversion system. Subjective perceptual results indicate that the proposed approach yields significant improvements in quality of the converted voice.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Prediction of Cepstral Excitation Pulses for Voice Conversion</title><author role="aut"><persName><forename type="first">Fadoua</forename><surname>Bahja</surname></persName><email></email><idno type="halauthor">556419</idno><affiliation ref="#struct-110943"></affiliation></author><author role="aut"><persName><forename type="first">Joseph</forename><surname>Di Martino</surname></persName><email>jdm@loria.fr</email><idno type="halauthor">861252</idno><orgName ref="#struct-413289"></orgName><affiliation ref="#struct-2359"></affiliation></author><author role="aut"><persName><forename type="first">El Hassan</forename><surname>Ibn Elhaj</surname></persName><email></email><idno type="halauthor">556420</idno><affiliation ref="#struct-332892"></affiliation></author><author role="aut"><persName><forename type="first">Driss</forename><surname>Aboutajdine</surname></persName><email>aboutaj@ieee.org</email><idno type="halauthor">686418</idno><affiliation ref="#struct-110943"></affiliation></author><editor role="depositor"><persName><forename>Joseph</forename><surname>Di Martino</surname></persName><email>jdm@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2012-12-10 09:43:12</date><date type="whenModified">2016-05-18 08:55:05</date><date type="whenReleased">2012-12-11 15:17:23</date><date type="whenProduced">2012-02-16</date><date type="whenEndEmbargoed">2012-12-10</date><ref type="file" target="https://hal.inria.fr/hal-00761776/document"><date notBefore="2012-12-10"></date></ref><ref type="file" subtype="author" n="1" target="https://hal.inria.fr/hal-00761776/file/article_siie_2012_Bahja_Fadoua.pdf"><date notBefore="2012-12-10"></date></ref></edition><respStmt><resp>contributor</resp><name key="184441"><persName><forename>Joseph</forename><surname>Di Martino</surname></persName><email>jdm@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">hal-00761776</idno><idno type="halUri">https://hal.inria.fr/hal-00761776</idno><idno type="halBibtex">bahja:hal-00761776</idno><idno type="halRefHtml">5th. International Conference on Information Systems and Economic Intelligence - SIIE ̓ 2012, Feb 2012, Djerba, Tunisia. 2012</idno><idno type="halRef">5th. 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International Conference on Information Systems and Economic Intelligence - SIIE ̓ 2012</title><date type="start">2012-02-16</date><date type="end">2012-02-18</date><settlement>Djerba</settlement><country key="TN">Tunisia</country></meeting><imprint><date type="datePub">2012</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><classCode scheme="halDomain" n="info.info-ts">Computer Science [cs]/Signal and Image Processing</classCode><classCode scheme="halDomain" n="spi.signal">Engineering Sciences [physics]/Signal and Image processing</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Voice conversion is one of useful techniques to enhance pathological speech to be perceived as normal speech, although it concerns also the modifications of normal source speaker's speech to be perceived as if a target speaker had uttered it. The parameters to be converted are obtained by matching the spectral envelope of the vocal tract for the source and the target speech. Gaussian Mixture Models (GMMs) parameters are determined for providing conversion functions. The main contribution of our study consists in the prediction of Fourier cepstrum coefficients related to the excitation signal. Such a prediction leads to a satisfactory voice conversion system. Subjective perceptual results indicate that the proposed approach yields significant improvements in quality of the converted voice.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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