基于GPT-2和互信息的语言单位信息量对韵律特征的影响(Prosodic Effects of Speech Unit’s Information Based on GPT-2 and Mutual Information)
Yun Hao (郝韵) | Yanlu Xie (解焱陆) | Binghuai Lin (林炳怀) | Jinsong Zhang (张劲松)
Proceedings of the 21st Chinese National Conference on Computational Linguistics
Phoneme Set Design Using English Speech Database by Japanese for Dialogue-Based English CALL Systems
Xiaoyun Wang | Jinsong Zhang | Masafumi Nishida | Seiichi Yamamoto
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
This paper describes a method of generating a reduced phoneme set for dialogue-based computer assisted language learning (CALL)systems. We designed a reduced phoneme set consisting of classified phonemes more aligned with the learners speech characteristics than the canonical set of a target language. This reduced phoneme set provides an inherently more appropriate model for dealing with mispronunciation by second language speakers. In this study, we used a phonetic decision tree (PDT)-based top-down sequential splitting method to generate the reduced phoneme set and then applied this method to a translation-game type English CALL system for Japanese to determine its effectiveness. Experimental results showed that the proposed method improves the performance of recognizing non-native speech.
- Yun Hao (郝韵) 1
- Yanlu Xie (解焱陆) 1
- Binghuai Lin 1
- Xiaoyun Wang 1
- Masafumi Nishida 1
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