Malay speaker recognition system based on discrete HMM
This paper presents the design and implementation of Malay speaker recognition system using discrete hidden Markov model (HMM) as the classifier. A series of speaker recognition experiments was performed using 99 speakers (13 clients and 86 imposters) recording database consisting of isolated digit...
Main Authors: | Ariff, Ahmad Kamarul, Mohd. Alwi, Mohd. Alwi, Salleh, Sh-Hussain |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2005
|
Subjects: | |
Online Access: | http://eprints.utm.my/1769/1/Amar05_Malay_Speaker_Recognition.pdf |
Similar Items
-
Speaker dependent Malay phone recognition using continuous density hidden markov model
by: Ting, Chee-Ming, et al.
Published: (2007) -
Performance evaluation for speaker recognition system based on cross match technique
by: Abdul Aziz, Mohd. Alwi
Published: (2004) -
Speaker-Independent Malay Syllable Recognition Using Singular And Modular Neural Networks
by: Ting, Hua Nong, et al.
Published: (2001) -
Malay sign language gesture recognition system
by: Tan, Tian Swee, et al.
Published: (2007) -
Malay alphabet sign language recognition
by: Tan, Tian-Swee, et al.
Published: (2007)