Efficient Feature Extraction Algorithms to Develop an Arabic Speech Recognition System

Efficient Feature Extraction Algorithms to Develop an Arabic Speech Recognition System

This paper studies three feature extraction methods, Mel-Frequency Cepstral Coefficients (MFCC), Power-Normalized Cepstral Coefficients (PNCC), and Modified Group Delay Function (ModGDF) for the development of an Automated Speech Recognition System (ASR) in Arabic. The Support Vector Machine (SVM) a...

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Bibliographic Details
Main Authors: A. A. Alasadi, T. H. Aldhayni, R. R. Deshmukh, A. H. Alahmadi, A. S. Alshebami
Format: Article
Language:English
Published: D. G. Pylarinos 2020-04-01
Series:Engineering, Technology & Applied Science Research
Subjects:
speech recognition
feature extraction
PNCC
ModGDF
MFCC
Arabic speech recognition
Online Access:https://etasr.com/index.php/ETASR/article/view/3465

Internet

https://etasr.com/index.php/ETASR/article/view/3465

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