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

Title
Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation
Author
이수정
Keywords
voice activity detection; Taylor series approximation; embedded systems
Issue Date
2014-03
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, KIKAI-SHINKO-KAIKAN BLDG, 3-5-8, SHIBA-KOEN, MINATO-KU, TOKYO, 105-0011, JAPAN
Citation
IEICE transactions on fundamentals of electronics, communications and computer sciences,v.E97A,no.3 2014년, pp.865 - 868
Abstract
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 smart-phone as well as on a desktop computer with various background noises confirm the effectiveness of the proposed technique.
URI
https://pdfs.semanticscholar.org/da15/131bc54849af63a9a847bd1ecf39922deb9a.pdfhttps://repository.hanyang.ac.kr/handle/20.500.11754/70765
ISSN
0916-8508; 1745-1337
DOI
10.1587/transfun.E97.A.865
Appears in Collections:
INDUSTRY-UNIVERSITY COOPERATION FOUNDATION[S](산학협력단) > ETC
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