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...

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Bibliographic Details
Main Authors: Ting, Hua Nong, Yunus, Jasmy, Shaikh Salleh, Sheikh Hussain
Format: Article
Language:English
Published: Penerbit UTM Press 2001
Subjects:
Online Access:http://eprints.utm.my/id/eprint/1491/1/JT35D6.pdf
http://eprints.utm.my/id/eprint/1491/
http://www.penerbit.utm.my/onlinejournal/35/D/JT35D6.pdf
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