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

• المؤلفون الرئيسيون: Huang, Hao, Xu, Haihua, Hu, Ying, Zhou, Gang
• مؤلفون آخرون: Temasek Laboratories
• التنسيق: مقال
• اللغة: English
• منشور في: 2017
• الموضوعات: Acoustic Analysis; Speech Recognition
• الوصول للمادة أونلاين: 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...