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...
| 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
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| 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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