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Single-channel speech separation with memory-enhanced recurrent neural networks

Author:
Weninger, F. , Eyben, F. , Schuller, B.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IKT.2014.7030342
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1003919
Keyword(s): Australia,US Department of Transportation,Clustering,K-Means,Likelihood ratio statistics,Positional Analysis,Social Network Analysis(SNA),blockmodeling,exponential random graph model,p<,inf>,1<,/inf>,model
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    Single-channel speech separation with memory-enhanced recurrent neural networks

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contributor authorWeninger, F. , Eyben, F. , Schuller, B.
date accessioned2020-03-12T20:09:17Z
date available2020-03-12T20:09:17Z
date issued2014
identifier other6854294.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1003919
formatgeneral
languageEnglish
publisherIEEE
titleSingle-channel speech separation with memory-enhanced recurrent neural networks
typeConference Paper
contenttypeMetadata Only
identifier padid8125204
subject keywordsAustralia
subject keywordsUS Department of Transportation
subject keywordsClustering
subject keywordsK-Means
subject keywordsLikelihood ratio statistics
subject keywordsPositional Analysis
subject keywordsSocial Network Analysis(SNA)
subject keywordsblockmodeling
subject keywordsexponential random graph model
subject keywordsp<
subject keywordsinf>
subject keywords1<
subject keywords/inf>
subject keywordsmodel
identifier doi10.1109/IKT.2014.7030342
journal titlecoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
filesize427364
citations0
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