Paper: Detecting Speech Repairs Incrementally Using a Noisy Channel Approach

ACL ID C10-1154
Title Detecting Speech Repairs Incrementally Using a Noisy Channel Approach
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

Unrehearsed spoken language often contains disfluencies. In order to cor- rectly interpret a spoken utterance, any such disfluencies must be identi- fied and removed or otherwise dealt with. Operating on transcripts of speech which contain disfluencies, our particular focus here is the identifica- tion and correction of speech repairs using a noisy channel model. Our aim is to develop a high-accuracy mecha- nism that can identify speech repairs in an incremental fashion, as the ut- terance is processed word-by-word. We also address the issue of the evalu- ation of such incremental systems. We propose a novel approach to evalua- tion, which evaluates performance in detecting and correcting disfluencies incrementally, rather than only assess- ing performance once the processing of an utteran...