Multinomial logistic regression probability ratio-based feature vectors for Malay vowel recognition

Vowel Recognition is a part of automatic speech recognition (ASR) systems that classifies speech signals into groups of vowels. The performance of Malay vowel recognition (MVR) like any multiclass classification problem depends largely on Feature Vectors (FVs). FVs such as Mel-frequency Cepstral Coe...

詳細記述

書誌詳細
第一著者: Atanda, Abdulwahab Funsho
フォーマット: 学位論文
言語:英語
英語
英語
英語
出版事項: 2021
主題:
オンライン・アクセス:https://etd.uum.edu.my/9212/1/s95101_01.pdf
https://etd.uum.edu.my/9212/2/s95101_02.pdf
https://etd.uum.edu.my/9212/3/s95101_references.docx
https://etd.uum.edu.my/9212/5/depositpermission-allow-not%20allow_s95101.pdf
https://etd.uum.edu.my/9212/
Abstract Abstract here

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