Are morphosyntactic taggers suitable to improve automatic transcription?

Authors:
Stéphane Huet;Guillaume Gravier;Pascale Sébillot
Affiliations:
IRISA, Rennes, France;IRISA, Rennes, France;IRISA, Rennes, France
Venue:
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Year:
2006

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Abstract

The aim of our paper is to study the interest of part of speech (POS) tagging to improve speech recognition We first evaluate the part of misrecognized words that can be corrected using POS information; the analysis of a short extract of French radio broadcast news shows that an absolute decrease of the word error rate by 1.1% can be expected We also demonstrate quantitatively that traditional POS taggers are reliable when applied to spoken corpus, including automatic transcriptions This new result enables us to effectively use POS tag knowledge to improve, in a postprocessing stage, the quality of transcriptions, especially correcting agreement errors.