EUROSPEECH 2001 Scandinavia
This paper describes several experiments designed to train prosodic phrasing models for Chinese TTS systems and to investigate the underlying rules that control Chinese prosody. First, we collected 559 sentences from news programs and built a large corpus for modeling Chinese prosody. Second, we selected 20 features and used classification and regression trees (CART) and transformational rule-based learning (TRBL) techniques to generate phrasing rules automatically. Lastly, we propose a computer aided error-driven method of designing rule templates, and integrate it into the TRBL algorithm. The experimental results show that we achieve a high success rate of 94.5%, and we also get a set of well comprehensible rule templates which may give us insights into the relationship between Chinese syntax and prosody.
Bibliographic reference. Chen, Weijun / Lin, Fuzong / Li, Jianmin / Zhang, Bo (2001): "Training prosodic phrasing rules for Chinese TTS systems", In EUROSPEECH-2001, 1159-1162.