MLLR-based Online Hierarchical Speaker Adaptation for Speech Recognition
碩士 === 國立交通大學 === 電信工程系 === 89 === In this thesis, we try to build a good online hierarchical speaker adaptation speech recognition system. By offline and online improving, we hope to increase the performance after adaptation and decrease calculation capacity to increase efficiency. The s...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2001
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Online Access: | http://ndltd.ncl.edu.tw/handle/46063836314165732686 |