Speech recognition in unseen and noisy channel conditions
ICASSP, pp. 5215-5219, 2017.
Speech recognition in varying background conditions is a challenging problem. Acoustic condition mismatch between training and evaluation data can significantly reduce recognition performance. For mismatched conditions, data-adaptation techniques are typically found to be useful, as they expose the acoustic model to the new data condition...More
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