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Sector-Based Detection for Hands-Free Speech Enhancement in Cars

EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 020683 (2006) Cite this article

Abstract

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 km/h background road noise.

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Authors and Affiliations

  1. IDIAP Research Institute, Martigny, 1920, Switzerland

    Guillaume Lathoud

  2. École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, 1015, Switzerland

    Guillaume Lathoud

  3. DaimlerChrysler Research and Technology, Ulm, 89014, Germany

    Julien Bourgeois & Jürgen Freudenberger

Authors
  1. Guillaume Lathoud
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  2. Julien Bourgeois
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  3. Jürgen Freudenberger
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Correspondence to Guillaume Lathoud.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Lathoud, G., Bourgeois, J. & Freudenberger, J. Sector-Based Detection for Hands-Free Speech Enhancement in Cars. EURASIP J. Adv. Signal Process. 2006, 020683 (2006). https://doi.org/10.1155/ASP/2006/20683

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  • DOI: https://doi.org/10.1155/ASP/2006/20683

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