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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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