The Study of Language Model Enhancement for Mandarin Speech Recognition
碩士 === 國立交通大學 === 資訊工程系所 === 93 === In this thesis, we propose smoothing methods to solve the “data sparseness” problems of the language model to improve the efficiency of speech recognition. “Katz Smoothing” and “Kneser-Ney Smoothing” which includes “Kneser-Ney Backoff Smoothing” and “Kneser-Ney In...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/62125819778370607962 |