Modeling linguistic segment and turn boundaries for Nbest rescoring of spontaneous speech (1997)
| Venue: | Proc. EUROSPEECH |
| Citations: | 12 - 2 self |
BibTeX
@INPROCEEDINGS{Stolcke97modelinglinguistic,
author = {Andreas Stolcke},
title = {Modeling linguistic segment and turn boundaries for Nbest rescoring of spontaneous speech},
booktitle = {Proc. EUROSPEECH},
year = {1997},
pages = {2779--2782}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
Language modeling, especially for spontaneous speech, often suffers from a mismatch of utterance segmentations between training and test conditions. In particular, training often uses linguistically-based segments, whereas testing occurs on acoustically determined segments, resulting in degraded performance. We present an N-best rescoring algorithm that removes the effect of segmentation mismatch. Furthermore, we show that explicit language modeling of hidden linguistic segment boundaries is improved by including turn-boundary events in the model. 1. THE SEGMENTATION PROBLEM IN LANGUAGE MODELING One of the problems encountered in speech recognition on continuous, spontaneous speech is the segmentation
