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...

詳細記述

書誌詳細

第一著者:	Mahmmod, Basheera M.
フォーマット:	学位論文
言語:	英語
出版事項:	2018
主題:	Signal processing - Case studies Speech processing systems
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/75679/1/FK%202018%20137.pdf