Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/10284
Title: | VOICE ACTIVITY DETECTION (VAD) USING BIPOLAR PULSE ACTIVE (BPA) FEATURES |
Authors: | Sairul Safie Lykourgos Petropoulakis John J Soraghan (UniKL MITEC) |
Keywords: | Pulse Domain Transform Voice Activity Detection Speech Processing |
Issue Date: | 30-Jun-2015 |
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 |
Description: | Conference venue: SIENA, ITALY |
URI: | http://localhost/xmlui/handle/123456789/10284 |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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VOICE ACTIVITY DETECTION.pdf | 93.55 kB | Adobe PDF | View/Open Request a copy |
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