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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書目詳細資料

主要作者:	Mahmmod, Basheera M.
格式:	Thesis
語言:	英语
出版:	2018
主題:	Signal processing - Case studies Speech processing systems
在線閱讀:	http://psasir.upm.edu.my/id/eprint/75679/1/FK%202018%20137.pdf