NDLI: Real-time large vocabulary spontaneous speech recognition for spoken dialog systems

Content Provider	IEEE Xplore Digital Library
Author	Svec, J. Smidl, L.
Copyright Year	2011
Description	Author affiliation: Center of Applied Cybernetics, Department of Cybernetics, University of West Bohemia, Pilsen, Czech Republic (Svec, J.; Smidl, L.)
Abstract	This paper describes the method for modifying the baseline speech recognition system to be suitable for a use in spoken dialog system with mixed initiative and natural user's input. We present three approaches for extending the recognition vocabulary to ensure the spoken dialog system is able to recognize all entities in the given domain. The colloquial text normalization method is proposed. The experiments performed on spontaneous speech corpus suggested that the proposed method is very important for languages where the formal written language and a common colloquial speech are very different. The overall word error rate was reduced by 16.7%.
Starting Page	2431
Ending Page	2436
File Size	293806
Page Count	6
File Format	PDF
ISBN	9781424493043
e-ISBN	9781424493067
DOI	10.1109/CISP.2011.6100773
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary speech recognition Hidden Markov models Training data Speech recognition language modeling Speech Data models History spoken dialog system
Content Type	Text
Resource Type	Article

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Real-time large vocabulary spontaneous speech recognition for spoken dialog systems