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...
| 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/1491/1/JT35D6.pdf |