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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Bibliographic Details
Main Author: Chak, Hui Ping
Other Authors: Lee Bu Sung
Format: Final Year Project
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/40059
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Institution: Nanyang Technological University
Language: English