Towards Adaptive Spoken Dialog Systems

  • Alexander Schmitt
  • Wolfgang Minker

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Alexander Schmitt, Wolfgang Minker
    Pages 1-16
  3. Alexander Schmitt, Wolfgang Minker
    Pages 17-61
  4. Alexander Schmitt, Wolfgang Minker
    Pages 63-97
  5. Alexander Schmitt, Wolfgang Minker
    Pages 99-152
  6. Alexander Schmitt, Wolfgang Minker
    Pages 153-184
  7. Alexander Schmitt, Wolfgang Minker
    Pages 185-203
  8. Alexander Schmitt, Wolfgang Minker
    Pages 205-218
  9. Back Matter
    Pages 219-251

About this book


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.


Adaptive Spoken Dialogue Systems Dialogue Systems Emotion Recognition Interaction Modeling Linguistic Modeling Machine Learning Paralinguistic Modeling Platform Development SRI Wolfgang Minker

Authors and affiliations

  • Alexander Schmitt
    • 1
  • Wolfgang Minker
    • 2
  1. 1.Institute of Communications EngineeringUniversity of UlmUlmGermany
  2. 2.University of UlmInstitute of Communications EngineeringUlmGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-4592-0
  • Online ISBN 978-1-4614-4593-7
  • Buy this book on publisher's site