Publications

Detailed Information

A statistical model-based voice activity detection

DC Field Value Language
dc.contributor.authorSohn, Jongseo-
dc.contributor.authorKim, Nam Soo-
dc.contributor.authorSung, Wonyong-
dc.date.accessioned2009-08-05T05:24:17Z-
dc.date.available2009-08-05T05:24:17Z-
dc.date.issued1999-01-
dc.identifier.citationIEEE Signal Processing Letters, vol. 6, no. 1, pp. 1-3, Jan. 1999en
dc.identifier.issn1070-9908-
dc.identifier.urihttps://hdl.handle.net/10371/6165-
dc.description.abstractIn this letter, we develop a robust voice activity detector (VAD) for the application to variable-rate speech coding. The developed VAD employs the decision-directed parameter estimation method for the likelihood ratio test. In addition, we propose an effective hang-over scheme which considers the previous observations by a first-order Markov process modeling of speech occurrences. According to our simulation results, the proposed VAD shows significantly better performances than the G.729B VAD in low signal-to-noise ratio (SNR) and vehicular noise environmentsen
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectDecision-directed estimationen
dc.subjecthidden Markoven
dc.subjectlikelihood ratio testen
dc.subjectvoice activity detectionen
dc.titleA statistical model-based voice activity detectionen
dc.typeArticleen
dc.contributor.AlternativeAuthor손종서-
dc.contributor.AlternativeAuthor김남수-
dc.contributor.AlternativeAuthor성원용-
dc.identifier.doi10.1109/97.736233-
Appears in Collections:
Files in This Item:
There are no files associated with this item.

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share