RNN-based Segmentation for Speech Recognition
碩士 === 國立交通大學 === 電信工程系 === 90 === In this thesis, the recurrent neural network (RNN) and finite state machine (FSM) were used to construct a pre-segmentation unit in speech processing system. A RNN pre-segment network was used to classify the input speech into silence, initial, final and nasal. Two...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2002
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Online Access: | http://ndltd.ncl.edu.tw/handle/20432941203722847482 |