On-Line Multi-Speaker Adaptation Based on SVM and MLLR for Ubiquitous Speech Recognition System
碩士 === 國立成功大學 === 電機工程學系碩博士班 === 96 === Technology always comes from human nature. The growing popularity of speech recognition applicants in living still has great room for improvement. How to improve the speech recognition technology and bring more convenient for people is our continuously effort...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2008
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Online Access: | http://ndltd.ncl.edu.tw/handle/61962122110908352771 |