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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 - neues Buch

2012, ISBN: 9781461445920

ID: 683698204

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. This extensive study of new statistical approaches that allow recognition of negative dialog patterns in SDS fosters a flexible, portable and accurate approach to the topic, using methods based on acoustic, linguistic, and contextual features in spoken dialog. Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 19.09.2012 Buch (fremdspr.), Springer, .201

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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 - neues Buch

ISBN: 9781461445920

ID: 739919252

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. This extensive study of new statistical approaches that allow recognition of negative dialog patterns in SDS fosters a flexible, portable and accurate approach to the topic, using methods based on acoustic, linguistic, and contextual features in spoken dialog. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Towards Adaptive Spoken Dialog Systems - Alexander Schmitt
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Alexander Schmitt:
Towards Adaptive Spoken Dialog Systems - neues Buch

2012, ISBN: 1461445922

ID: 9529819725

[EAN: 9781461445920], Neubuch, [SC: 29.54], [PU: Springer-Verlag Gmbh Sep 2012], BILDBEARBEITUNG; BILDVERARBEITUNG; GRAFIK (EDV) / DATA MINING (EDV); COMPUTERS COMPUTER VISION & PATTERN RECOGNITION; DATABASES MINING; USER INTERFACES; TECHNOLOGY ENGINEERING ELECTRONICS GENERAL, Neuware - 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. 251 pp. Englisch

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AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Towards Adaptive Spoken Dialog Systems - Alexander Schmitt
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Alexander Schmitt:
Towards Adaptive Spoken Dialog Systems - neues Buch

2012, ISBN: 1461445922

ID: 9529819725

[EAN: 9781461445920], Neubuch, [SC: 0.0], [PU: Springer-Verlag Gmbh Sep 2012], BILDBEARBEITUNG; BILDVERARBEITUNG; GRAFIK (EDV) / DATA MINING (EDV); COMPUTERS COMPUTER VISION & PATTERN RECOGNITION; DATABASES MINING; USER INTERFACES; TECHNOLOGY ENGINEERING ELECTRONICS GENERAL, Neuware - 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. 251 pp. Englisch

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Towards Adaptive Spoken Dialog Systems - Alexander Schmitt
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Alexander Schmitt:
Towards Adaptive Spoken Dialog Systems - neues Buch

1, ISBN: 9781461445920

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - 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 monographexamines 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 244x169x22 mm, 251, [GW: 577g], Banküberweisung, PayPal

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