Paper: Using Conditional Random Fields To Predict Pitch Accents In Conversational Speech

ACL ID P04-1086
Title Using Conditional Random Fields To Predict Pitch Accents In Conversational Speech
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

The detection of prosodic characteristics is an im- portant aspect of both speech synthesis and speech recognition. Correct placement of pitch accents aids in more natural sounding speech, while automatic detection of accents can contribute to better word- level recognition and better textual understanding. In this paper we investigate probabilistic, contex- tual, and phonological factors that influence pitch accent placement in natural, conversational speech in a sequence labeling setting. We introduce Con- ditional Random Fields (CRFs) to pitch accent pre- diction task in order to incorporate these factors ef- ficiently in a sequence model. We demonstrate the usefulness and the incremental effect of these fac- tors in a sequence model by performing experiments on hand labeled data from t...