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dc.contributor.author Thati, Jagadeesh en
dc.contributor.author Noorbasha, Fazal en
dc.date.accessioned 2015-02-02T09:53:06Z
dc.date.available 2015-02-02T09:53:06Z
dc.date.issued 2015-02-02
dc.identifier.uri http://hdl.handle.net/11400/5441
dc.rights Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.source http://e-jst.teiath.gr/ en
dc.subject Voice activity
dc.subject Φωνητική δραστηριότητα
dc.subject Feature vectors
dc.subject Διανύσματα χαρακτηριστικών γνωρισμάτων
dc.subject k-means clustering
dc.title Voice activity detection using feature vectors en
heal.type journalArticle
heal.classification Technology
heal.classification Electronics
heal.classification Τεχνολογία
heal.classification Ηλεκτρονική
heal.classificationURI http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI http://zbw.eu/stw/descriptor/10455-2
heal.classificationURI **N/A**-Τεχνολογία
heal.classificationURI **N/A**-Ηλεκτρονική
heal.keywordURI http://id.loc.gov/authorities/subjects/sh85095226
heal.language en
heal.access free
heal.publicationDate 2011
heal.bibliographicCitation Thati, J. and Noorbasha, F. (2011). Voice activity detection using feature vectors. "e-Journal of Science & Technology". [Online] 6(4): 29-32. Available from: http://e-jst.teiath.gr/ en
heal.abstract Effective speech communication can be achieved by taking the speech signal when microphone is active and suppressing the noise when it is passive. The model we proposed in this paper is to take Feature vectors of pre-defined speech and noise signal’s, which already are stored for processing. Then centriods of the Feature Vectors were calculated using k-means algorithm. The Minimum distance between framed feature vectors of input signal and centriods of pre-defined signals are estimated using Euclidian distance. The ratio obtained between noise and speech minimum distance vectors will represent the voice activity at the microphone. The evaluation of the ratio indicates the significant performance of voice activity detection in noisy environment as well. en
heal.publisher Νερατζής, Ηλίας el
heal.publisher Σιανούδης, Ιωάννης el
heal.journalName e-Journal of Science & Technology en
heal.journalName e-Περιοδικό Επιστήμης & Τεχνολογίας el
heal.journalType peer-reviewed
heal.fullTextAvailability true


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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες Except where otherwise noted, this item's license is described as Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες