A speech enhancement framework using discrete Krawtchouk-Tchebichef Transform

Speech is considered the key mode of interaction amongst humans. Speech signals encounter different scenarios during transmission, such as interference and additive noise, which lead to generate noisy signals. Therefore, robust Speech Enhancement Algorithms (SEA) that suppress noise without di...

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Détails bibliographiques
Auteur principal:	Mahmmod, Basheera M.
Format:	Thèse
Langue:	anglais
Publié:	2018
Sujets:	Signal processing - Case studies Speech processing systems
Accès en ligne:	http://psasir.upm.edu.my/id/eprint/75679/1/FK%202018%20137.pdf

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