• DocumentCode
    2083006
  • Title

    Improve detection performance of speech recognizer in an automotive environment

  • Author

    Sapru, Ashtosh ; Lakkundi, Ravi ; Ahmed, Nisar

  • Author_Institution
    Audio & Speech Eng., Aricent Commun. Pvt Ltd., Bangalore
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    1250
  • Lastpage
    1254
  • Abstract
    In-car speech recognition is a challenging area of research. The area has been studied, and more of is concentrated on addressing the issues in acoustic echo cancellation (AEC). In application such as a voice controlled car audio system, voice commands by the driver are corrupted by audio out of loudspeaker. In this paper we propose and implement a robust, low complex voice controller for car audio system involving an efficient AEC and an effective detection module for a simple speech recognizer The proposed method has been implemented on OMAP 2420 TI-DSP C55x, with a performance of under 59 mega cycles for complete system and is tested in real time environment.
  • Keywords
    acoustic signal processing; audio systems; automotive engineering; echo suppression; speech recognition; OMAP 2420 TI-DSP C55x; acoustic echo cancellation; automotive environment; detection performance improvement; in-car speech recognition; voice controlled car audio system; voice controller; Acoustic signal detection; Audio systems; Automotive engineering; Control systems; Echo cancellers; Loudspeakers; Real time systems; Robust control; Speech recognition; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074617
  • Filename
    5074617