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Auditory feature representation using convolutional restricted Boltzmann machine and Teager energy operator for speech recognition

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dc.contributor.affiliationDA-IICT, Gandhinagar
dc.contributor.authorSailor, Hardik B
dc.contributor.authorPatil, Hemant
dc.contributor.researcherSailor, Hardik B (201321002)
dc.date.accessioned2025-08-01T13:09:00Z
dc.date.issued01-06-2017
dc.description.abstractIn addition, for a hexagonal geometry, when the number of simultaneously communicating pairs are different in different adjacent cells, the optimum number of gateways per cell that maximizes the system capacity for all the cases is not a fixed number, but varies between a minimum value of�one�and a maximum value of�six, depending on the number of cells which has two simultaneously communication pairs.
dc.format.extentEL500-EL506
dc.identifier.citationHardik B. Sailor, and Patil, Hemant A, "Auditory feature representation using convolutional restricted Boltzmann machine and Teager energy operator for speech recognition," Journal of the Acoustical Society of America, vol. 141, no. 6, pp. EL500-EL506, Jun. 2017. doi: 10.1121/1.4983751
dc.identifier.doi10.1121/1.4983751
dc.identifier.scopus2-s2.0-85020230985
dc.identifier.urihttps://ir.daiict.ac.in/handle/dau.ir/1539
dc.identifier.wosWOS:000403467300002
dc.language.isoen
dc.publisherAIP
dc.relation.ispartofseriesVol. 141; No. 6
dc.sourceJournal of the Acoustical Society of America
dc.source.urihttps://pubs.aip.org/asa/jasa/article/141/6/EL500/917949/Auditory-feature-representation-using
dc.titleAuditory feature representation using convolutional restricted Boltzmann machine and Teager energy operator for speech recognition
dspace.entity.typePublication
relation.isAuthorOfPublicationfdb7041b-280e-498b-b2ee-34f9bc351f4c
relation.isAuthorOfPublication.latestForDiscoveryfdb7041b-280e-498b-b2ee-34f9bc351f4c

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