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Titre: Speech analysis–synthesis using sinusoidal representations: A review
Auteur(s): Tabet, Youcef
Hina, Manolo Dulva
Meraihi, Yassine
Mots-clés: Adaptive representation
Sinusoidal representation
Speech analysis
Speech synthesis
Date de publication: 2024
Editeur: Springer Nature
Collection/Numéro: Future Research Directions in Computational Intelligence : EAI/Springer Innovations in Communication and Computing /3rd EAI International Conference on Computational Intelligence and Communications, CICom 2022, Springer, Cham;pp. 89 - 97
Résumé: Various speech analysis–synthesis representations have been suggested in the literature, and the more well-known ones are explored in this chapter, specifically, sinusoidal representation, harmonic/noise representation, and adaptive sinusoidal representations. Hence, the main objective of this chapter is to give a tutorial review of speech analysis–synthesis representations, by highlighting major improvements over these representations. It would be a desirable representation of speech that is relatively simple, flexible, high quality, and robust in re-synthesis. Emphasis will be given in adaptive sinusoidal representations, since they seem to be more promising and robust representations of speech.
URI/URL: https://doi.org/10.1007/978-3-031-34459-6_7
https://link.springer.com/chapter/10.1007/978-3-031-34459-6_7
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13546
ISBN: 978-3-031-34458-9
ISSN: 2522-8595
Collection(s) :Communications Internationales

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