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Towards Adaptive Spoken Dialog Systems

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.  Beginn...

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Detalles Bibliográficos
Autores principales: Schmitt, Alexander, Minker, Wolfgang
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-1-4614-4593-7
http://cds.cern.ch/record/1500227
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author Schmitt, Alexander
Minker, Wolfgang
author_facet Schmitt, Alexander
Minker, Wolfgang
author_sort Schmitt, Alexander
collection CERN
description 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.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2013
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spelling cern-15002272021-04-22T00:02:17Zdoi:10.1007/978-1-4614-4593-7http://cds.cern.ch/record/1500227engSchmitt, AlexanderMinker, WolfgangTowards Adaptive Spoken Dialog SystemsEngineeringIn 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.Springeroai:cds.cern.ch:15002272013
spellingShingle Engineering
Schmitt, Alexander
Minker, Wolfgang
Towards Adaptive Spoken Dialog Systems
title Towards Adaptive Spoken Dialog Systems
title_full Towards Adaptive Spoken Dialog Systems
title_fullStr Towards Adaptive Spoken Dialog Systems
title_full_unstemmed Towards Adaptive Spoken Dialog Systems
title_short Towards Adaptive Spoken Dialog Systems
title_sort towards adaptive spoken dialog systems
topic Engineering
url https://dx.doi.org/10.1007/978-1-4614-4593-7
http://cds.cern.ch/record/1500227
work_keys_str_mv AT schmittalexander towardsadaptivespokendialogsystems
AT minkerwolfgang towardsadaptivespokendialogsystems