Continuous Lexical Representation of Language Model for Speech Recognition
碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 96 === Statistical n-gram language models suffer form the three weakness which are capacity of long distance information, data sparse and domain mismatch. This study presents the continuous topic language model to improve the robustness of probability prediction. Con...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/81664385480083339045 |