Multi-channel Attention for End-to-End Speech Recognition
dc.contributor.author
Braun, Stefan
dc.contributor.author
Neil, Daniel
dc.contributor.author
Anumula, Jithendar
dc.contributor.author
Ceolini, Enea
dc.contributor.author
Liu, Shih-Chii
dc.date.accessioned
2019-06-11T06:08:47Z
dc.date.available
2019-06-11T06:08:47Z
dc.date.issued
2018
dc.identifier.other
10.21437/Interspeech.2018-1301
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/346566
dc.language.iso
en
en_US
dc.publisher
International Speech Communication Association
en_US
dc.subject
End-to-end speech recognition
en_US
dc.subject
Multi-channel
en_US
dc.subject
Attention mechanism
en_US
dc.title
Multi-channel Attention for End-to-End Speech Recognition
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of Interspeech 2018
en_US
ethz.pages.start
17
en_US
ethz.pages.end
21
en_US
ethz.event
The 19th Annual Conference of the International Speech Communication Association (Interspeech 2018)
en_US
ethz.event.location
Hyderabad, India
en_US
ethz.event.date
September 2-6, 2018
en_US
ethz.notes
Conference lecture on 15 August 2018.
en_US
ethz.identifier.wos
ethz.publication.place
Baixas, France
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02533 - Institut für Neuroinformatik / Institute of Neuroinformatics
en_US
ethz.date.deposited
2019-01-30T09:09:47Z
ethz.source
WOS
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2019-06-11T06:08:52Z
ethz.rosetta.lastUpdated
2019-06-11T06:08:52Z
ethz.rosetta.exportRequired
false
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/344917
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/321227
ethz.COinS
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Conference Paper [35278]