Optimizing model training for speech recognition
Modern speech recognition systems are generally based on statistical models which output a sequence of symbols or quantities. These models can be trained automatically and are simple and computationally feasible to use. To reduce long computational time, the model training can be distributed to many...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/10356/40059 |