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

Authors:
Guillaume Lathoud;Julien Bourgeois;Jürgen Freudenberger
Affiliations:
IDIAP Research Institute, Martigny, Switzerland and École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland;DaimlerChrysler Research and Technology, Ulm, Germany;DaimlerChrysler Research and Technology, Ulm, Germany
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2006

Citing 5
Cited 0

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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 100 km/h background road noise.