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Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals

contributor authorKanas, Vasileios G.
contributor authorMporas, Iosif
contributor authorBenz, Heather L.
contributor authorSgarbas, Kyriakos N.
contributor authorBezerianos, Anastasios
contributor authorCrone, Nathan E.
date accessioned2020-03-12T18:39:42Z
date available2020-03-12T18:39:42Z
date issued2014
identifier issn0018-9294
identifier other6705641.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/965988?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleJoint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals
typeJournal Paper
contenttypeMetadata Only
identifier padid7999722
subject keywordsbiomedical electrodes
subject keywordsbrain-computer interfaces
subject keywordselectroencephalography
subject keywordsmedical signal processing
subject keywordsneurophysiology
subject keywordsspeech
subject keywordssupport vector machines
subject keywordsECoG feature space
subject keywordsECoG signals
subject keywordsbrain recording sites
subject keywordsbrain-machine interfaces
subject keywordscortical areas
subject keywordselectrocorticographic signals
subject keywordsfrequency 8 Hz
subject keywordsjoint spatial-frequency clustering
subject keywordsjoint spatial-spectral feature space clustering
subject keywordsoptimal frequency resolution
subject keywordsportable ECoG-based communication
subject keywordsspeech activity
subject keywordsspeech activity detection
subject keywordsspeech di
identifier doi10.1109/TBME.2014.2298897
journal titleBiomedical Engineering, IEEE Transactions on
journal volume61
journal issue4
filesize1524579
citations0


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