Adaptation control of beamforming interference cancellation techniques is investigated for in-car speech acquisition. Two efficient adaptation control methods are proposed that avoid target cancellation. The 'implicit' method varies the step-size continuously, based on the filtered output signal. The 'explicit' method decides in a binary manner whether to adapt or not, based on a novel estimate of target and interference energies. It estimates the average delay-sum power within a volume of space, for the same cost as the classical delay-sum. Experiments on real in-car data validate both methods, including a case with 100 km/h background road noise.


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    Title :

    Sector-based detection for hands-free speech enhancement in cars


    Contributors:


    Publication date :

    2006


    Size :

    15 Seiten, 8 Bilder, 2 Tabellen, 28 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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