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Open Access

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

  • Guillaume Lathoud1, 2Email author,
  • Julien Bourgeois3 and
  • Jürgen Freudenberger3
EURASIP Journal on Advances in Signal Processing20062006:020683

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

Received: 31 January 2005

Accepted: 22 August 2005

Published: 25 April 2006

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.

Keywords

Information TechnologyOutput SignalControl MethodQuantum InformationInterference Cancellation

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Authors’ Affiliations

(1)
IDIAP Research Institute, Martigny, Switzerland
(2)
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
(3)
DaimlerChrysler Research and Technology, Ulm, Germany

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Copyright

© Lathoud et al. 2006

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