Recurrent neural network with backpropagation through time for speech recognition
Speech recognition and understanding have been studied for many years. The neural network is well-known as a technique that is able to classify nonlinear problems. Much research has been done in applying neural networks to solving the problem of recognizing speech such as Arabic. Arabic offers a num...
| Main Authors: | Ahmad, A. M., Ismail, S., Samaon, D. F. |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://eprints.utm.my/2016/ http://eprints.utm.my/2016/1/paper122.pdf |
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