03148nam 2200553 a 450 991043791780332120200520144314.01-283-62435-497866139368061-4614-4593-010.1007/978-1-4614-4593-7(CKB)2670000000246740(EBL)994367(OCoLC)811563982(SSID)ssj0000767215(PQKBManifestationID)11445975(PQKBTitleCode)TC0000767215(PQKBWorkID)10739575(PQKB)11271498(DE-He213)978-1-4614-4593-7(MiAaPQ)EBC994367(PPN)168300710(EXLCZ)99267000000024674020120723d2013 uy 0engur|n|---|||||txtccrTowards adaptive spoken dialog systems /Alexander Schmitt, Wolfgang MinkerNew York Springer20131 online resource (257 p.)Description based upon print version of record.1-4614-4592-2 Includes bibliographical references and index.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.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.Speech processing systemsSpeech processing systems.621.39/9Schmitt Alexander1064249Minker Wolfgang935692MiAaPQMiAaPQMiAaPQBOOK9910437917803321Towards adaptive spoken dialog systems2537161UNINA