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

• Main Author: Goh, Eng Lyn
• Format: Thesis
• Language: English
• Published: 2013
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...