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Academic Paper

Title: Finite-state models for speech-based search on mobile devices
Author: Taniya Mishra
Institution: AT&T Labs – Research
Author: Srinivas Bangalore
Institution: AT&T Labs – Research
Linguistic Field: Computational Linguistics
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.


This article appears IN Natural Language Engineering Vol. 17, Issue 2, which you can READ on Cambridge's site or on LINGUIST .

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