Post-error Correction in Automatic Speech Recognition Using Discourse Information

Post-error Correction in Automatic Speech Recognition Using Discourse Information

Overcoming speech recognition errors in the field of human�computer interaction is important in ensuring a consistent user experience. This paper proposes a semantic-oriented post-processing approach for the correction of errors in speech recognition. The novelty of the model proposed here is tha...

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Bibliographic Details
Main Authors: KANG, S., KIM, J.-H., SEO, J.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2014-05-01
Series:Advances in Electrical and Computer Engineering
Subjects:
post correction
speech recognition
re-ranking model
analysis of user intention
spoken language understanding
spoken dialog system
Online Access:http://dx.doi.org/10.4316/AECE.2014.02009

Internet

http://dx.doi.org/10.4316/AECE.2014.02009

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