Multisensor multiband cross-energy tracking for feature extraction and recognition

Lefkimmiatis, S; Maragos, P; Katsamanis, A

dc.contributor.author	Lefkimmiatis, S	en
dc.contributor.author	Maragos, P	en
dc.contributor.author	Katsamanis, A	en
dc.date.accessioned	2014-03-01T02:45:40Z
dc.date.available	2014-03-01T02:45:40Z
dc.date.issued	2008	en
dc.identifier.issn	15206149	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32321
dc.subject	ASR	en
dc.subject	Energy Tracking	en
dc.subject	Microphone Array	en
dc.subject	Robust Feature Extraction	en
dc.subject	Teager Energy	en
dc.subject.other	Acoustics	en
dc.subject.other	Signal processing	en
dc.subject.other	Speech	en
dc.subject.other	ASR	en
dc.subject.other	Energy Tracking	en
dc.subject.other	Microphone Array	en
dc.subject.other	Robust Feature Extraction	en
dc.subject.other	Teager Energy	en
dc.subject.other	Feature extraction	en
dc.title	Multisensor multiband cross-energy tracking for feature extraction and recognition	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.2008.4518716	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.2008.4518716	en
heal.identifier.secondary	4518716	en
heal.publicationDate	2008	en
heal.abstract	In this paper, we present a multisensor multiband energy tracking scheme for robust feature extraction in noisy environments. We introduce a multisensor feature extraction algorithm which combines both the spatial and frequency information incorporated in the speech signals captured by a microphone array. This is based on the estimation of cross-energies over multiple sensors and minimization of an error term due to noise. The relevant noise-analysis is given. Automatic Speech Recognition (ASR) experiments at various SNR levels demonstrate that the newly proposed frontend performs better than alternative schemes, especially in noisy conditions. ©2008 IEEE.	en
heal.journalName	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings	en
dc.identifier.doi	10.1109/ICASSP.2008.4518716	en
dc.identifier.spage	4741	en
dc.identifier.epage	4744	en