A Statistical Model for Word Discovery in Transcribed Speech

Computer Science – Computation and Language

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Expanded version of ICML-01 paper (pp.569--576)

Scientific paper

A statistical model for segmentation and word discovery in continuous speech
is presented. An incremental unsupervised learning algorithm to infer word
boundaries based on this model is described. Results of empirical tests showing
that the algorithm is competitive with other models that have been used for
similar tasks are also presented.

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

A Statistical Model for Word Discovery in Transcribed Speech 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 A Statistical Model for Word Discovery in Transcribed Speech, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Statistical Model for Word Discovery in Transcribed Speech will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-261602

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