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Books > Computing & IT > Applications of computing > Audio processing > Speech recognition & synthesis

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Estimating Spoken Dialog System Quality with User Models (Hardcover, 2013 ed.) Loot Price: R2,943
Discovery Miles 29 430
Estimating Spoken Dialog System Quality with User Models (Hardcover, 2013 ed.): Klaus-Peter Engelbrecht

Estimating Spoken Dialog System Quality with User Models (Hardcover, 2013 ed.)

Klaus-Peter Engelbrecht

Series: T-Labs Series in Telecommunication Services

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Loot Price R2,943 Discovery Miles 29 430 | Repayment Terms: R276 pm x 12*

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Spoken dialog systems have the potential to offer highly intuitive user interfaces, as they allow systems to be controlled using natural language. However, the complexity inherent in natural language dialogs means that careful testing of the system must be carried out from the very beginning of the design process. This book examines how user models can be used to support such early evaluations in two ways: by running simulations of dialogs, and by estimating the quality judgments of users. First, a design environment supporting the creation of dialog flows, the simulation of dialogs, and the analysis of the simulated data is proposed. How the quality of user simulations may be quantified with respect to their suitability for both formative and summative evaluation is then discussed. The remainder of the book is dedicated to the problem of predicting quality judgments of users based on interaction data. New modeling approaches are presented, which process the dialogs as sequences, and which allow knowledge about the judgment behavior of users to be incorporated into predictions. All proposed methods are validated with example evaluation studies.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: T-Labs Series in Telecommunication Services
Release date: August 2012
First published: 2013
Authors: Klaus-Peter Engelbrecht
Dimensions: 235 x 155 x 9mm (L x W x T)
Format: Hardcover
Pages: 130
Edition: 2013 ed.
ISBN-13: 978-3-642-31590-9
Categories: Books > Computing & IT > Applications of computing > Audio processing > Speech recognition & synthesis
LSN: 3-642-31590-9
Barcode: 9783642315909

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