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

  • Guillaume Lathoud
  • Julien Bourgeois
  • Jürgen Freudenberger
Open Access
Research Article
Part of the following topical collections:
  1. Advances in Multimicrophone Speech Processing

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 Open image in new window km/h background road noise.

Keywords

Information Technology Output Signal Control Method Quantum Information Interference Cancellation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Lathoud et al. 2006

Authors and Affiliations

  • Guillaume Lathoud
    • 1
    • 2
  • Julien Bourgeois
    • 3
  • Jürgen Freudenberger
    • 3
  1. 1.IDIAP Research InstituteMartignySwitzerland
  2. 2.École Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
  3. 3.DaimlerChrysler Research and TechnologyUlmGermany

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