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Towards Adaptive Spoken Dialog Systems - Wolfgang Minker
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Towards Adaptive Spoken Dialog Systems - hardcover

2012, ISBN: 1461445922

[EAN: 9781461445920], Neubuch, [SC: 0.0], [PU: Springer New York], BILDBEARBEITUNG; BILDVERARBEITUNG; GRAFIK (EDV) / DATA MINING (EDV); ADAPTIVESPOKENDIALOGUESYSTEMS; DIALOGUESYSTEMS; EMO… More...

NEW BOOK. Shipping costs:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Towards Adaptive Spoken Dialog Systems
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ISBN: 9781461445920

In Monitoring Adaptive Spoken Dialog Systems, authors Alexander Schmitt and Wolfgang Minker investigate statistical approaches that allow for recognition of negative dialog patterns in Sp… More...

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Towards Adaptive Spoken Dialog Systems - Minker, Wolfgang; Schmitt, Alexander
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Minker, Wolfgang; Schmitt, Alexander:
Towards Adaptive Spoken Dialog Systems - hardcover

2012

ISBN: 1461445922

2013 Gebundene Ausgabe Bildbearbeitung, Bildverarbeitung, Grafik (EDV) / Bildverarbeitung, Data Mining (EDV), Elektronik, Data Mining, Digitale Signalverarbeitung (DSP), Mensch-Computer… More...

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Towards Adaptive Spoken Dialog Systems 2013 - Schmitt, Alexander und Wolfgang Minker
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Schmitt, Alexander und Wolfgang Minker:
Towards Adaptive Spoken Dialog Systems 2013 - used book

2012, ISBN: 9781461445920

2013 Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2013 22552778/12 Versandkostenfreie Lieferung Adaptive Spoken Dialogue Systems,SRI,Wolfgang Minker,Platform Developm… More...

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Towards Adaptive Spoken Dialog Systems - Alexander Schmitt/ Wolfgang Minker
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Alexander Schmitt/ Wolfgang Minker:
Towards Adaptive Spoken Dialog Systems - Paperback

2013, ISBN: 9781461445920

Towards Adaptive Spoken Dialog Systems - Auflage 2013: ab 44.39 € Bücher > Wissenschaft > Technik Springer-Verlag GmbH, Springer-Verlag GmbH

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Towards Adaptive Spoken Dialog Systems by Alexander Schmitt Hardcover | Indigo Chapters
Author:
Title:
ISBN:

9781461445920


In Monitoring Adaptive Spoken Dialog Systems, authors Alexander Schmitt and Wolfgang Minker investigate statistical approaches that allow for recognition of negative dialog patterns in Spoken Dialog Systems (SDS). The presented stochastic methods allow a flexible, portable and  accurate use. 

Beginning with the foundations of machine learning and pattern recognition, this monograph examines how frequently users show negative emotions in spoken dialog systems and develop novel approaches to speech-based emotion recognition using hybrid approach to model emotions. The authors make use of statistical methods based on acoustic, linguistic and contextual features to examine the relationship between the interaction flow and the occurrence of emotions using non-acted  recordings several thousand real users from commercial and non-commercial SDS.

Additionally, the authors present novel statistical methods that spot problems within a dialog based on interaction patterns. The approaches enable future SDS to offer more natural and robust interactions. This work provides insights, lessons and  inspiration for future research and development, not only for spoken dialog systems, but for data-driven approaches to human-machine interaction in general.

Details of the book - Towards Adaptive Spoken Dialog Systems by Alexander Schmitt Hardcover | Indigo Chapters


EAN (ISBN-13): 9781461445920
ISBN (ISBN-10): 1461445922
Hardcover
Paperback
Publishing year: 2012
Publisher: Alexander Schmitt
251 Pages
Weight: 0,577 kg
Language: Englisch

Book in our database since 2009-09-05T00:11:26+01:00 (London)
Detail page last modified on 2024-03-23T13:53:23+00:00 (London)
ISBN/EAN: 9781461445920

ISBN - alternate spelling:
1-4614-4592-2, 978-1-4614-4592-0
Alternate spelling and related search-keywords:
Book author: alexander wolf, mink, maria schmitt, wolfgang will, minke, wolfgang bücher
Book title: dialog, spoke, system, alexander wolfgang, schmitt buch

Information from Publisher

Author: Alexander Schmitt; Wolfgang Minker
Title: Towards Adaptive Spoken Dialog Systems
Publisher: Springer; Springer US
254 Pages
Publishing year: 2012-09-19
New York; NY; US
Printed / Made in
Weight: 5,266 kg
Language: English
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XIV, 254 p.

BB; Signal, Image and Speech Processing; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; Adaptive Spoken Dialogue Systems; Dialogue Systems; Emotion Recognition; Interaction Modeling; Linguistic Modeling; Machine Learning; Paralinguistic Modeling; Platform Development; SRI; Wolfgang Minker; Data Mining and Knowledge Discovery; User Interfaces and Human Computer Interaction; Computer Imaging, Vision, Pattern Recognition and Graphics; Signal, Speech and Image Processing; Data Mining and Knowledge Discovery; User Interfaces and Human Computer Interaction; Computer Imaging, Vision, Pattern Recognition and Graphics; Digitale Signalverarbeitung (DSP); Data Mining; Wissensbasierte Systeme, Expertensysteme; Mensch-Computer-Interaktion; Bildverarbeitung; BC; EA

Beginning with the foundations of machine learning and pattern recognition, this monograph examines how frequently users show negative emotions in spoken dialog systems and develop novel approaches to speech-based emotion recognition using hybrid approach to model emotions. The authors make use of statistical methods based on acoustic, linguistic and contextual features to examine the relationship between the interaction flow and the occurrence of emotions using non-acted  recordings several thousand real users from commercial and non-commercial SDS.

Additionally, the authors present novel statistical methods that spot problems within a dialog based on interaction patterns. The approaches enable future SDS to offer more natural and robust interactions. This work provides insights, lessons and  inspiration for future research and development, not only for spoken dialog systems, but for data-driven approaches to human-machine interaction in general.

Monitoring Adaptive Spoken Dialog Systems

Introduction.- Background and Related Research.- Interaction Modeling and Platform Development.- Novel Strategies for Emotion Recognition.- Novel Approaches to Pattern-based Interaction Quality Modeling.- Statistically Modeling and Predicting Task Success.- Conclusion and Future Directions.

Beginning with the foundations of machine learning and pattern recognition, this monograph examines how frequently users show negative emotions in spoken dialog systems and develop novel approaches to speech-based emotion recognition using hybrid approach to model emotions. The authors make use of statistical methods based on acoustic, linguistic and contextual features to examine the relationship between the interaction flow and the occurrence of emotions using non-acted  recordings several thousand real users from commercial and non-commercial SDS.

Additionally, the authors present novel statistical methods that spot problems within a dialog based on interaction patterns. The approaches enable future SDS to offer more natural and robust interactions. This work provides insights, lessons and  inspiration for future research and development, not only for spoken dialog systems, but for data-driven approaches to human-machine interaction in general.

Monitoring Adaptive Spoken Dialog Systems

Presents techniques and tools to render SDS “intelligent” and answers on how to make next-generation’s SDS adaptive, user-friendly and emotion-aware

Applies novel research methods about emotion recognition and problem spotting on commercial SDS

Describes how users perceive interactions with an SDS and identifies ways to automatically estimate user satisfaction at arbitrary points in a spoken human-machine interaction


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