Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation

Computer Science – Computation and Language

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

27 pages, 8 figures

Scientific paper

We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and prosodic information using hidden Markov models and decision trees. Lexical information is obtained from a speech recognizer, and prosodic features are extracted automatically from speech waveforms. We evaluate our approach on the Broadcast News corpus, using the DARPA-TDT evaluation metrics. Results show that the prosodic model alone is competitive with word-based segmentation methods. Furthermore, we achieve a significant reduction in error by combining the prosodic and word-based knowledge sources.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Integrating Prosodic and Lexical Cues for Automatic Topic Segmentation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-250082

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.