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Voice activity detector based on CAPDM architecture

dc.citation.epage69en_US
dc.citation.issue1en_US
dc.citation.spage68en_US
dc.citation.volume37en_US
dc.citation.woscount1
dc.contributor.authorLiu, CHen_US
dc.contributor.authorHuang, CCen_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.date.accessioned2014-12-08T15:44:18Z
dc.date.available2014-12-08T15:44:18Z
dc.date.issued2001-01-04en_US
dc.description.abstractA voice activity detector based on the controlled adaptive prediction delta modulation architecture is presented. The proposed detector utilises two parameters, a prediction gain and a prediction indicator. Computer simulation results show the proposed voice activity detection algorithm to be very robust in a noisy environment.en_US
dc.identifier.doi10.1049/el:20010030en_US
dc.identifier.issn0013-5194en_US
dc.identifier.journalELECTRONICS LETTERSen_US
dc.identifier.urihttp://dx.doi.org/10.1049/el:20010030en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/29905
dc.identifier.wosnumberWOS:000166565800047
dc.language.isoen_USen_US
dc.titleVoice activity detector based on CAPDM architectureen_US
dc.typeArticleen_US

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