Voice Activity Detection (VAD) using Bipolar Pulse Active (BPA) features

Author

Safie, Sairul ; Soraghan, John J. ; Petropoulakis, Lykourgos

Author_Institution

Malaysian Inst. of Ind. Technol., Univ. Kuala Lumpur, Johor, Malaysia

fYear

2015

fDate

15-17 May 2015

Firstpage

1

Lastpage

6

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.

Keywords

audio signal processing; feature extraction; signal classification; speech processing; transforms; BPA; VAD; amplitudes; audio signal classification; bipolar pulse active features; change rate; durations; energy spectrum; feature extraction method; frequencies; harmonically related periodic triangular waveforms; pulse domain features; pulse domain transform; speech signal; voice activity detection; Databases; Feature extraction; Gaussian noise; Hidden Markov models; Speech; Transforms; Pulse Domain Transform; Voice Activity Detection; speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing (WISP), 2015 IEEE 9th International Symposium on

Conference_Location

Siena

Type

conf

DOI

10.1109/WISP.2015.7139175

Filename

7139175