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

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.


Published in:
EURASIP Journal on Applied Signal Processing, Special Issue on Advances in Multimicrophone Speech Processing
Year:
2006
Note:
IDIAP RR 04-67
Laboratories:




 Record created 2010-02-11, last modified 2018-03-17

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