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Verbkey - A Single-Chip Speech Control for the Automobile Environment

  • Rico Petrick
  • Diane Hirschfeld
  • Thomas Richter
  • Rüdiger Hoffmann

Abstract

The article deals with a novel speech recognizer technology which has the potential to overcome some problems of in-car speech control. The verbKEY recognizer bases on the Associative-Dynamic (ASD) algorithm which differs from established techniques as HMM or DTW. The speech recognition technology is designed to run on a 16 bit, fixed point DSP platform. It enables high recognition performance and robustness. At the same time, it is highly cost efficient due to its low memory consumption and its less calculation complexity. Typical applications such as dialling, word spotting or menu structures for the device control are processed by the continuous, real-time recognition engine with an accuracy higher 98% for a 20 words vocabulary. The article describes a hardware prototype for command & control applications and the measures taken to improve the robustness against environmental noises. Finally, the authors discuss some ergonomic aspects to obtain a higher level of traffic safety.

Keywords

Automatic speech recognition Associative-Dynamic classifier (ASD) robustness telephone application discriminative optimization 

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References

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Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • Rico Petrick
    • 1
  • Diane Hirschfeld
    • 1
  • Thomas Richter
    • 1
  • Rüdiger Hoffmann
    • 2
  1. 1.voice INTER connect GmbHDresdenGermany
  2. 2.Laboratory of Acoustics and Speech CommunicationDresden University of TechnologyGermany

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