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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2001
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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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