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

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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


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