Comparing word, character, and phoneme n-grams for subjective utterance recognition
conference paper
In this paper, we compare the performance of classifiers trained using word n-grams, character n-grams, and phoneme n-grams for recognizing subjective utterances in multiparty conversation. We show that there is value in using very shallow linguistic representations, such as character n-grams, for recognizing subjective utterances, in particular, gains in the recall of subjective utterances. Copyright © 2008 ISCA.
TNO Identifier
425501
Source title
INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association, 22-26 September 2008, Brisbane, QLD, Canada
Pages
1614-1617
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