A transfer learning approach to goodness of pronunciation based automatic mispronunciation detection

• Main Authors: Huang, Hao, Xu, Haihua, Hu, Ying, Zhou, Gang
• 其他作者: Temasek Laboratories
• 格式: Article
• 語言: English
• 出版: 2017
• 主題: Acoustic Analysis; Speech Recognition
• 在線閱讀: https://hdl.handle.net/10356/86625; http://hdl.handle.net/10220/44162

Goodness of pronunciation (GOP) is the most widely used method for automatic mispronunciation detection. In this paper, a transfer learning approach to GOP based mispronunciation detection when applying maximum F1-score criterion (MFC) training to deep neural network (DNN)-hidden Markov model based...