Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Convolutional Autoencoder Assisted Multistage Beamforming

dc.contributor.author	Song, Yanjue
dc.contributor.author	Kindt, Stijn
dc.contributor.author	Madhu, Nilesh
dc.contributor.imecauthor	Song, Yanjue
dc.contributor.imecauthor	Kindt, Stijn
dc.contributor.imecauthor	Madhu, Nilesh
dc.contributor.orcidimec	Song, Yanjue::0000-0002-9684-6611
dc.contributor.orcidimec	Kindt, Stijn::0000-0001-9300-4251
dc.contributor.orcidimec	Madhu, Nilesh::0000-0001-9131-3309
dc.date.accessioned	2023-01-10T08:33:11Z
dc.date.available	2022-10-01T02:55:39Z
dc.date.available	2022-10-03T08:47:53Z
dc.date.available	2023-01-10T08:33:11Z
dc.date.issued	2022
dc.description.wosFundingText	This work is supported by the Research Foundation -Flanders (FWO) under grant number G081420N.
dc.identifier.doi	10.23919/FUSION49751.2022.9841383
dc.identifier.isbn	978-1-7377497-2-1
dc.identifier.issn	na
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/40523
dc.publisher	IEEE
dc.source.conference	25th International Conference of Information Fusion (FUSION)
dc.source.conferencedate	JUL 04-07, 2022
dc.source.conferencelocation	Linkoping
dc.source.journal	na
dc.source.numberofpages	8
dc.subject.keywords	ENHANCEMENT
dc.subject.keywords	REDUCTION
dc.title	Drone Ego-Noise Cancellation for Improved Speech Capture using Deep Convolutional Autoencoder Assisted Multistage Beamforming
dc.type	Proceedings paper
dspace.entity.type	Publication
Files	Original bundle Name: DS555_acc.pdf Size: 6.08 MB Format: Unknown data format Description: Download
Publication available in collections:	Conference contributions