VOICE ACTIVITY DETECTION (VAD) USING BIPOLAR PULSE ACTIVE (BPA) FEATURES

dc.contributor.author	Sairul Safie
dc.contributor.author	Lykourgos Petropoulakis
dc.contributor.author	John J Soraghan
dc.contributor.author	(UniKL MITEC)
dc.date.accessioned	2015-06-30T05:16:11Z
dc.date.available	2015-06-30T05:16:11Z
dc.date.issued	2015-06-30
dc.identifier.uri	http://localhost/xmlui/handle/123456789/10284
dc.description	Conference venue: SIENA, ITALY	en_US
dc.description.abstract	This paper introduces a new method of extracting features of a signal called Bipolar Pulse Active (BPA) features. The BPA extracts information from signals and decomposes them, using a series of harmonically related periodic triangular waveforms, into a finite set of Pulse Domain features. The BPA features contain information such as the rate of change between amplitudes, durations and frequencies within the original signal. The transformed signals can be further processed for some desirable application. In this paper, BPA feature is modified to describe its energy spectrum to be used in the application of Voice Activity Detection (VAD) of a speech signal	en_US
dc.subject	Pulse Domain Transform	en_US
dc.subject	Voice Activity Detection	en_US
dc.subject	Speech Processing	en_US
dc.title	VOICE ACTIVITY DETECTION (VAD) USING BIPOLAR PULSE ACTIVE (BPA) FEATURES	en_US
dc.conference.name	9TH IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING (WISP 2015)	en_US
dc.conference.year	2015	en_US