Cross Platform Solution of Communication and Voice/Graphical User Interface for Mobile Devices in Vehicles

  • Géza Németh
  • Géza Kiss
  • Bálint Tóth

Abstract

Two long-term goals of our study has been to develop a standardized communication interface between the mobile device and other onboard systems and to create a parametrical, scaleable user interface, both with voice and graphical user input/output. This chapter describes the main requirements, principles, and aspects of a voice/graphical user interface and of a Bluetooth based communication interface. Requirements and limitations for the implementation of speech synthesis on mobile devices will also be introduced. An SMS-reader application will be presented as a sample application of a mobile device on a vehicle.

Key words

Speech synthesis mobile devices scaleable interface SMS reading 

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References

  1. [1]
    S. Ethier and R. Martin, “Instant-on Technology for In-Car Telematics and Infortainment Systems”, http://www.qnx.com/download/do/vnload/10386/instant-on mini-driver whitepaper.pdf Google Scholar
  2. [2]
    Edward Lansinger, “Windows Mobile for Automotive: A Platform for Smart Telematics Systems”, Convergence 2004, DetroitGoogle Scholar
  3. [4]
    Scott J. McCormick, “AMI-C (Automotive Multimedia Interface Collaboration) Fostering Global Communication”, ITU-T Workshop on Standarization in Telecommunication for motor vehicles, ITU Headquarters, 2003.Google Scholar
  4. [5]
    K.M. Parnell, “Reconfigurable Vehicle”, http://www.xilinx.com/products/iq/ReconfigurableVehicle02AE-118.pdf Google Scholar
  5. [6]
    Jini Network Technology, http://www.sun.com/software/jini Google Scholar
  6. [8]
    Voice Extensible Markup Language, v.2.1, http://www.w3.org/TR/voicexml21/ Google Scholar
  7. [9]
    G. Olaszy, G. Németh, “IVR for Banking and Residential Telephone Subscribers Using Stored Messages Combined with a New Number-to-Speech Synthesis Method”, in D. Gardner-Bonneau ed., Human Factors and Interactive Voice Response Systems, Kluwer, 1999, pp. 237–255Google Scholar
  8. [10]
    G. Németh, Cs. Zainkó, G. Kiss, M. Fék, G. Olaszy and G. Gordos, “Language Processing for Name and Address Reading in Hungarian”, Proc. of IEEE Natural Language Processing and Knowledge Engineering Workshop, 2003., Beijing, China, pp. 238–243.Google Scholar
  9. [11]
    G. Németh Cs. Zainkó, G. Olaszy, G. Prószéky, “Problems of Creating a Flexible E-mail Reader for Hungarian”, Proc. of Eurospeech’99, Vol. 2, pp. 939–942, Budapest, Hungary, 1999Google Scholar
  10. [12]
    W.N. Campbell, “CHATR: A High-Definition Speech Re-Sequencing System”, Proc. of 3rd ASA/ASJ Joint Meeting, 1996, pp. 1223–1228Google Scholar
  11. [13]
    G. Olaszy, G., Németh, P. Olaszi, G. Kiss, G. Gordos, “PROFIVOX — A Hungarian Professional TTS System for Telecommunications Applications”, International Journal of Speech Technology, Kluwer Acedemic Publishers, Volume 3, Numbers 3/4, December 2000, pp. 201–216Google Scholar
  12. [14]
    G. Németh, G. Kiss, Cs. Zainkó, G. Olaszy, B. Tóth, “Speech Generation in Mobile Phones”, in D. Gardner-Bonneau and H. Blanchard eds., Human Factors and Interactive Voice Response Systems, 2nd ed., Springer, forthcomingGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Géza Németh
    • 1
  • Géza Kiss
    • 1
  • Bálint Tóth
    • 1
  1. 1.Department of Telecommunications and Media Informatics (TMIT)Budapest University of Technology and Economics (BME)BudapestHungary

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