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

Speaker and speech variability are a challenge in speaker and speech recognition. In the context of Malaysian English speakers, the variability is highly complex due to sociolinguistic and cultural background. Past researches focused on vowel classification of Malaysian English on a small dataset wi...

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Bibliographic Details
Main Author: Goh, Eng Lyn
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/35850/5/GohEngLynMFSKSM2013.pdf
http://eprints.utm.my/id/eprint/35850/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70422?site_name=Restricted Repository
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