Speech Recognition Quality Estimation-based Semi-Supervised Training for Broadcast Radio Program Transcription
碩士 === 國立臺北科技大學 === 電子工程系研究所 === 105 === It is difficult to collect enough labeled data to well train a high performance Automatic Speech Recognition. However, we can easily obtain unlimited amount of unlabeled speech data. In order to gain this advantage, the objective of this paper to use semi-sup...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2017
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Online Access: | http://ndltd.ncl.edu.tw/handle/v665zj |