Sector-Based Detection for Hands-Free Speech Enhancement in Cars
Sector-Based Detection for Hands-Free Speech Enhancement in Cars
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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 Mega Mug in a binary manner whether to adapt or not, based on a novel estimate of target Toddler Bed 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