Gender and accent identification for Malaysian English using MFCC and Gaussian mixture model

Also available in printed version : TK7895.S65 G64 2013 raf

Bibliographic Details
Main Author:	Goh Eng Lyn
Other Authors:	Shukor Abd. Razak, supervisor
Format:	Master's thesis
Language:	English
Published:	Universiti Teknologi Malaysia 2025
Subjects:	Automatic speech recognition Speech processing systems
Online Access:	https://utmik.utm.my/handle/123456789/106232
Abstract	Abstract here

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