Speech recognition in unseen and noisy channel conditions

ICASSP, pp. 5215-5219, 2017.

Cited by: 7|Bibtex|Views31|Links
EI

Abstract:

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

Code:

Data:

Your rating :
0

 

Tags
Comments