Improving Mandarin LVCSR Using Place and Manner Based Multi-task Learning
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 107 === In large vocabulary continuous speech recognition (LVCSR), it is well known that the recognition performance has been improved by using DNN-HMM instead of GMM-HMM. In this thesis, we use multi-task learning model (MTL-DNN), aiming at simultaneously minimizing t...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/vsq74a |