Speech analysis–synthesis using sinusoidal representations: A review

dc.contributor.authorTabet, Youcef
dc.contributor.authorHina, Manolo Dulva
dc.contributor.authorMeraihi, Yassine
dc.date.accessioned2024-02-26T07:50:10Z
dc.date.available2024-02-26T07:50:10Z
dc.date.issued2024
dc.description.abstractVarious 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.en_US
dc.identifier.isbn978-3-031-34458-9
dc.identifier.issn2522-8595
dc.identifier.urihttps://doi.org/10.1007/978-3-031-34459-6_7
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-031-34459-6_7
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/13546
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofseriesFuture 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
dc.subjectAdaptive representationen_US
dc.subjectSinusoidal representationen_US
dc.subjectSpeech analysisen_US
dc.subjectSpeech synthesisen_US
dc.titleSpeech analysis–synthesis using sinusoidal representations: A reviewen_US
dc.typeBook chapteren_US

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