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Presentation #	10
Session:	ASR II
Session Time:	Thursday, December 20, 13:30 - 15:30
Presentation Time:	Thursday, December 20, 13:30 - 15:30
Presentation:	Poster
Topic:	Speech recognition and synthesis:
Paper Title:	MULTI-BAND PROCESSING WITH GABOR FILTERS AND TIME DELAY NEURAL NETS FOR NOISE ROBUST SPEECH RECOGNITION
Authors:	György Kovács; MTA-SZTE Research Group on Artificial Intelligence
	László Tóth; University of Szeged
	Gábor Gosztolya; MTA-SZTE Research Group on Artificial Intelligence
Abstract:	Spectro-temporal feature extraction and multi-band processing were both invented with the goal of increasing the robustness of speech recognisers. However, although these methods have been in use for a long time now, and they are evidently compatible, few attempts have been made to combine them. This is why here we investigate the combination of multi-band processing with the use of spectro-temporal Gabor filters. First, based on the TIMIT corpus, we optimise their meta-parameters like the overlap, and the number of bands. Then we verify the cross-corpus viability of our multi-band processing approach on the Aurora-4 corpus. Lastly, we combine our method with the recently proposed channel dropout method. Our results show that this combination not only leads to lower error rates than those got using either multi-band processing or channel dropout, but these results compare favourably to those recently reported for the clean training scenario on the Aurora-4 corpus.