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.
- URL: http://publications.idiap.ch/downloads/papers/2006/lathoud06a.pdf
- Related documents: http://publications.idiap.ch/index.php/publications/showcite/lathoud-rr-04-67
IDIAP RR 04-67
Record created on 2010-02-11, modified on 2016-08-08