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.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:


    Erscheinungsdatum :

    2006


    Format / Umfang :

    15 Seiten, 8 Bilder, 2 Tabellen, 28 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Robust superdirectional beamforming for hands-free speech capture in cars

    Mabande, Edwin / Schad, Adrian / Kellermann, Walter | Tema Archiv | 2009


    Speech enhancement in hands-free systems for automobile environments

    Kandade Rajan, Vasudev / Christian-Albrechts-Universität zu Kiel / Shaker Verlag | TIBKAT | 2017


    HEADREST FOR CARS HAVING HANDS-FREE APPARATUS

    JUNG KYUNG YEOL | Europäisches Patentamt | 2016

    Freier Zugriff

    HEADREST FOR CARS HAVING HANDS-FREE APPARATUS

    JUNG KYUNG YEOL | Europäisches Patentamt | 2016

    Freier Zugriff

    HEADREST FOR CARS HAVING HANDS-FREE APPARATUS

    JUNG KYUNG YEOL | Europäisches Patentamt | 2016

    Freier Zugriff