Evaluation of contextual descriptors for HMM-based speech synthesis in French

Sébastien Le Maguer 1 Nelly Barbot 1 Olivier Boëffard 1
1 CORDIAL - Human-machine spoken dialogue
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes, ENSSAT - École Nationale Supérieure des Sciences Appliquées et de Technologie
Abstract : In HTS, a HMM-based speech synthesis system, about fifty contextual factors are introduced to label a segment to synthesize English utterances. Published studies indicate that most of them are used for clustering the prosodic component of speech. Nevertheless, the influence of all these factors on modeling is still unclear for French. The work presented in this paper deals with the analysis of contextual factors on acoustic parameters modeling in the context of a French synthesis purpose. Two objective and one subjective methodologies of evaluation are carried out to conduct this study. The first one relies on a GMM-approach to achieve a global evaluation of the synthetic acoustic space. The second one is based on a pairwise distance determined according to the acoustic parameter evaluated. Finally, a subjective evaluation is conducted to complete this study. Experimental results show that using phonetic context improves the overall spectrum and duration modeling and using syllable informations improves the F0 modeling. However other contextual factors do not significantly improve the quality of the HTS models.
Type de document :
Communication dans un congrès
ISCA Speech Synthesis Workshop (SSW8), Aug 2013, Barcelone, Spain. 2013
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https://hal.inria.fr/hal-00987809
Contributeur : Equipe-Projet Cordial <>
Soumis le : mardi 6 mai 2014 - 18:35:44
Dernière modification le : mercredi 16 mai 2018 - 11:23:02

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  • HAL Id : hal-00987809, version 1

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Sébastien Le Maguer, Nelly Barbot, Olivier Boëffard. Evaluation of contextual descriptors for HMM-based speech synthesis in French. ISCA Speech Synthesis Workshop (SSW8), Aug 2013, Barcelone, Spain. 2013. 〈hal-00987809〉

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