Speaker-Independent Malay Syllable Recognition Using Singular And Modular Neural Networks

The paper investigates the use of Singular and Modular Neural Networks in classifying the Malay syllable sounds in a speaker-independent manner. The syllable sounds are initialized with plosives and followed by vowels. The speech tokens are sampled at 16 kHz with 16-bit resolution. Linear Predictive...

Full description

Bibliographic Details

Main Authors:	Ting, Hua Nong, Yunus, Jasmy, Shaikh Salleh, Sheikh Hussain
Format:	Article
Language:	en
Published:	Penerbit UTM Press 2001
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/1491/1/JT35D6.pdf http://eprints.utm.my/1491/ http://www.penerbit.utm.my/onlinejournal/35/D/JT35D6.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!