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...

Full description

Bibliographic Details
Main Authors: Sing-Yue Wang, 王星月
Other Authors: 廖元甫
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/v665zj