UltraTrail: A Configurable Ultralow-Power TC-ResNet AI Accelerator for Efficient Keyword Spotting

dc.contributor.author	Bernardo, Paul Palomero
dc.contributor.author	Gerum, Christoph
dc.contributor.author	Frischknecht, Adrian
dc.contributor.author	Lubeck, Konstantin
dc.contributor.author	Bringmann, Oliver
dc.date.accessioned	2021-06-16T13:45:38Z
dc.date.available	2021-06-16T13:45:38Z
dc.date.issued	2020
dc.identifier.issn	1937-4151
dc.identifier.uri	http://hdl.handle.net/10900/116324
dc.language.iso	en	en
dc.publisher	IEEE - Inst Electrical Electronics Engineers Inc	de_DE
dc.relation.uri	http://dx.doi.org/10.1109/TCAD.2020.3012320
dc.subject.ddc	004	de_DE
dc.subject.ddc	600	de_DE
dc.title	UltraTrail: A Configurable Ultralow-Power TC-ResNet AI Accelerator for Efficient Keyword Spotting	de_DE
dc.type	Article	de_DE
utue.quellen.id	20210304112512_00864
utue.publikation.seiten	4240-4251	de_DE
utue.personen.roh	Bernardo, Paul Palomero
utue.personen.roh	Gerum, Christoph
utue.personen.roh	Frischknecht, Adrian
utue.personen.roh	Lubeck, Konstantin
utue.personen.roh	Bringmann, Oliver
dcterms.isPartOf.ZSTitelID	IEEE Transactions on Computer - Aided Design of Integrated Circuits and Systems	de_DE
dcterms.isPartOf.ZS-Issue	11	de_DE
dcterms.isPartOf.ZS-Volume	39	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät