Integrated Speaker Classification for Mobile Shopping Applications

  • Michael Feld
  • Gerrit Kahl
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5149)


This paper presents an approach to how speaker classification can be used to enable new ways for recommender systems in a mobile shopping environment to bootstrap user models and avoid common problems such as the “early rater”. In a concrete shopping scenario, we introduce the speech-controlled Mobile ShopAssist demonstrator that allows a new customer to more quickly find a product that fulfills his or her demographic group’s specific requirements by exploiting features extracted from speech using the Agender speaker classification system. We propose a method for computing preference scores based on the user’s profile and demonstrate how the application’s GUI can be adapted to deliver the recommendations to the user.


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  1. 1.
    Müller, C.: Zweistufige kontextsensitive Sprecherklassifikation am Beispiel von Alter und Geschlecht. PhD thesis, Computer Science Institute, Saarland University, Germany (2005)Google Scholar
  2. 2.
    Feld, M.: Erzeugung von Sprecherklassifikationsmodulen für multiple Plattformen. Master’s thesis, Computer Science Institute, Saarland University, Germany (2006)Google Scholar
  3. 3.
    Wasinger, R.: Multimodal Interaction with Mobile Devices: Fusing a Broad Spectrum of Modality Combinations. PhD thesis, Saarland University, Department of Computer Science (2006)Google Scholar
  4. 4.
    Heckmann, D.: Ubiquitous User Modeling. PhD thesis, Department of Computer Science, Saarland University (2005)Google Scholar
  5. 5.
    Garofolo, J.e.A.: DARPA TIMIT CD-ROM: An Acoustic Phonetic Continous Speech Database. National Institute of Standards and Technology, Gaithersburg, MD, USA (1998)Google Scholar
  6. 6.
    Burke, R.: Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction 12(4), 331–370 (2002)MATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Michael Feld
    • 1
  • Gerrit Kahl
    • 1
  1. 1.German Research Center for Artificial Intelligence, DFKI 

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