This Is Me: Using Ambient Voice Patterns for In-Car Positioning

  • Michael Feld
  • Tim Schwartz
  • Christian Müller
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6439)


With the range of services that can be accessed inside a car constantly increasing, so are the opportunities for personalizing the experience for both driver and other passengers. A main challenge however is to find out who is sitting where without asking explicitly. The solution presented in this paper combines two sources of information in a novel way: Ambient speech and mobile personal devices. The approach offers improved privacy by putting the user in control, and it does not require specialized positioning technologies such as RFID. In a data-driven evaluation, we confirm that the accuracy is sufficient to support a ten-speaker scenario in practice.


Positioning Speaker Recognition Automotive HMI User Modeling Personalization 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Michael Feld
    • 1
  • Tim Schwartz
    • 2
  • Christian Müller
    • 1
  1. 1.Intelligent User Interfaces DepartmentGerman Research Center for Artificial Intelligence (DFKI)Germany
  2. 2.MMCI Cluster of ExcellenceSaarland UniversitySaarbrückenGermany

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