Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation

Chungsoo LIM  Soojeong LEE  Jae-Hun CHOI  Joon-Hyuk CHANG  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E97-A   No.3   pp.865-868
Publication Date: 2014/03/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E97.A.865
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Digital Signal Processing
voice activity detection,  Taylor series approximation,  embedded systems,  

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In this letter, we propose a simple but effective technique that improves statistical model-based voice activity detection (VAD) by both reducing computational complexity and increasing detection accuracy. The improvements are made by applying Taylor series approximations to the exponential and logarithmic functions in the VAD algorithm based on an in-depth analysis of the algorithm. Experiments performed on a smartphone as well as on a desktop computer with various background noises confirm the effectiveness of the proposed technique.