Deep Factorized and Variational Learning for Speech Recognition
碩士 === 國立交通大學 === 電信工程研究所 === 105 === Deep neural network (DNN) has been recognized as a new trend for modern speech recognition. Many extensions and realizations have been developing to further improve the system performance and discover the meaningful insights from different perspectives. This stu...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/03158094775165006006 |