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Finite-state models for speech-based search on mobile devices

Published online by Cambridge University Press:  21 March 2011

TANIYA MISHRA  and
SRINIVAS BANGALORE
TANIYA MISHRA
Affiliation:
AT&T Labs-Research, 180 Park Ave Florham Park, NJ 07932, USA email: taniya@research.att.com, srini@research.att.com
SRINIVAS BANGALORE
Affiliation:
AT&T Labs-Research, 180 Park Ave Florham Park, NJ 07932, USA email: taniya@research.att.com, srini@research.att.com
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Abstract

In this paper, we present techniques that exploit finite-state models for voice search applications. In particular, we illustrate the use of finite-state models for encoding the search index in order to tightly integrate the speech recognition and the search components of a voice search system. We show that the tight integration mutually benefits Automatic Speech Recognition and improves the search. In the second part of the paper, we discuss the use of finite-state techniques for spoken language understanding, in particular, to segment an input query into its component semantic fields so as to improve search as well as to extend the functionality of the system and be able to execute the user's request against a backend database.

Type
Papers
Information
Natural Language Engineering , Volume 17 , Special Issue 2: Finite-State Methods and Models in Natural Language Processing , April 2011 , pp. 243 - 264
Copyright
Copyright © Cambridge University Press 2011

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