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Titre: | A Tutorial on Speech Synthesis Models |
Auteur(s): | Tabet, Youcef Boughazi, Mohamed Affifi, Sadek |
Mots-clés: | Linear Prediction Model Sinusoidal Model Harmonic/Noise Model SIGNALS |
Date de publication: | 2015 |
Editeur: | ELSEVIER |
Référence bibliographique: | INTERNATIONAL CONFERENCE ON ADVANCED WIRELESS INFORMATION AND COMMUNICATION TECHNOLOGIES (AWICT 2015)Natl Sch Engineers Sousse, TUNISIA,OCT 05-07, 2015 |
Collection/Numéro: | Procedia Computer Science;Vol.73, pp. 48-55 |
Résumé: | For Speech Synthesis, the understanding of the physical and mathematical models of speech is essential. Hence, Speech Modeling is a large field, and is well documented in literature. The aim in this paper is to provide a background review of several speech models used in speech synthesis, specifically the Source Filter Model, Linear Prediction Model, Sinusoidal Model, and Harmonic/Noise Model. The most important models of speech signals will be described starting from the earlier ones up until the last ones, in order to highlight major improvements over these models. It would be desirable a parametric model of speech, that is relatively simple, flexible, high quality, and robust in re-synthesis. Emphasis will be given in Harmonic / Noise Model, since it seems to be more promising and robust model of speech. (C) 2015 The Authors. Published by Elsevier B.V. |
URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2916 |
ISSN: | 1877-0509 |
Collection(s) : | Communications Internationales
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