Speech recognition technology has matured to the point that it has been integrated into several consumer products. The addition of voice recognition to an automobile faces numerous challenges that must be addressed from the perspective of a typical user. The voice recognition unit must function to high accuracy in high background noise environments, and must be made to work in a 'natural way'. This can only be accomplished by joint design of both the signal processing algorithms and the end application's user interface. These high technology solutions must also be implemented at acceptable cost. This can be done by integrating enough complementary functions within one device to minimize total system cost. These functions include: Speaker Independent Voice Recognition, Speaker Trained Voice Recognition, Adaptive Noise Cancellation, Voice Response, and possibly signal processing for vehicle mounted cellular phones and audio systems. Enabling this integration is the advent of Digital Signal processing chips capable of running multiple intensive but independent algorithms.


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    Title :

    DSP solutions for automotive voice recognition


    Additional title:

    DSP-Lösungen für die Spracherkennung im Kraftfahrzeug


    Contributors:
    Bayle, S.D. (author)


    Publication date :

    1994


    Size :

    6 Seiten, 1 Bild, 5 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    DSP Solutions for Automotive Voice Recognition

    Bayle, S. D. / SAE / IEEE | British Library Conference Proceedings | 1994


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