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Data-Driven Methods for Adaptive Spoken Dialogue Systems - Computational Learning for Conversational Interfaces (Hardcover, 2012 ed.) Loot Price: R2,788
Discovery Miles 27 880
Repayment Terms: R261 pm x 12*
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Data-Driven Methods for Adaptive Spoken Dialogue Systems - Computational Learning for Conversational Interfaces (Hardcover,...

Data-Driven Methods for Adaptive Spoken Dialogue Systems - Computational Learning for Conversational Interfaces (Hardcover, 2012 ed.)

Oliver Lemon, Olivier Pietquin

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Loot Price R2,788 Discovery Miles 27 880 | Repayment Terms: R261 pm x 12*

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Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present "end-to-end" in Spoken Dialogue Systems (SDS). However, these techniques require data collection and annotation campaigns, which can be time-consuming and expensive, as well as dataset expansion by simulation. In this book, we provide an overview of the current state of the field and of recent advances, with a specific focus on adaptivity.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Release date: October 2012
First published: 2012
Editors: Oliver Lemon • Olivier Pietquin
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Hardcover
Pages: 178
Edition: 2012 ed.
ISBN-13: 978-1-4614-4802-0
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
Books > Computing & IT > Applications of computing > Audio processing > Speech recognition & synthesis
LSN: 1-4614-4802-6
Barcode: 9781461448020

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