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Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.15
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. 188.
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Condition: New. pp. 188.
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Data-driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces
Language: English
Published by Springer-Verlag New York Inc, 2014
ISBN 10: 1489992839 ISBN 13: 9781489992833
Paperback. Condition: Brand New. 188 pages. 9.25x6.10x0.45 inches. In Stock.
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Data-driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces
Language: English
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1461448026 ISBN 13: 9781461448020
Hardcover. Condition: Brand New. 2012 edition. 186 pages. 9.00x8.25x0.50 inches. In Stock.
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Taschenbuch. Condition: Neu. Data-Driven Methods for Adaptive Spoken Dialogue Systems | Computational Learning for Conversational Interfaces | Oliver Lemon (u. a.) | Taschenbuch | x | Englisch | 2014 | Humana | EAN 9781489992833 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Data-Driven Methods for Adaptive Spoken Dialogue Systems : Computational Learning for Conversational Interfaces
Language: English
Published by Springer New York, Springer US, 2012
ISBN 10: 1461448026 ISBN 13: 9781461448020
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Data-Driven Methods for Adaptive Spoken Dialogue Systems
Language: English
Published by Springer New York Okt 2012, 2012
ISBN 10: 1461448026 ISBN 13: 9781461448020
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 188 pp. Englisch.
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Data-Driven Methods for Adaptive Spoken Dialogue Systems
Language: English
Published by Springer New York Nov 2014, 2014
ISBN 10: 1489992839 ISBN 13: 9781489992833
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 188 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of the first books to specifically address adaptive techniques used in dialogue system developmentPractical examples developed by the editors and colleagues will be includedThe book will be based on dialogue systems freely available for.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One of the first books to specifically address adaptive techniques used in dialogue system developmentPractical examples developed by the editors and colleagues will be includedThe book will be based on dialogue systems freely available for.
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Condition: New. Print on Demand pp. 188.
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Condition: New. Print on Demand pp. 188 35 Illus. (8 Col.).
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Condition: New. PRINT ON DEMAND pp. 188.
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Condition: New. PRINT ON DEMAND pp. 188.
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Buch. Condition: Neu. Data-Driven Methods for Adaptive Spoken Dialogue Systems | Computational Learning for Conversational Interfaces | Oliver Lemon (u. a.) | Buch | x | Englisch | 2012 | Humana | EAN 9781461448020 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Data-Driven Methods for Adaptive Spoken Dialogue Systems
Language: English
Published by Springer, Humana Okt 2012, 2012
ISBN 10: 1461448026 ISBN 13: 9781461448020
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.
-
Data-Driven Methods for Adaptive Spoken Dialogue Systems
Language: English
Published by Springer, Humana Nov 2014, 2014
ISBN 10: 1489992839 ISBN 13: 9781489992833
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.
