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still providing improvements over standard speech enhancement techniques.
The proposed dialog-based framework provides improved recognition performance
over calibration-only systems; this effect is attributed to the ability to continually
update enhancement parameters according to changes in noise conditions.
Acknowledgments Parts of the work presented here were funded through the Australian Coop-
erative Research Centre for Advanced Automotive Technology (AutoCRC).
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