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, Buddy Stirrups based on the filtered output signal.The "explicit" method decides in a binary manner whether to adapt GROWN-UPS 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.

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