Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E97-A No.3 pp.865-868
- Publication Date
- 2014/03/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E97.A.865
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Chungsoo LIM
Korea National University of Transportation
Soojeong LEE
Hanyang University
Jae-Hun CHOI
Hanyang University
Joon-Hyuk CHANG
Hanyang University
Keyword
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Chungsoo LIM, Soojeong LEE, Jae-Hun CHOI, Joon-Hyuk CHANG, "Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation" in IEICE TRANSACTIONS on Fundamentals,
vol. E97-A, no. 3, pp. 865-868, March 2014, doi: 10.1587/transfun.E97.A.865.
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 smartphone as well as on a desktop computer with various background noises confirm the effectiveness of the proposed technique.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E97.A.865/_p
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@ARTICLE{e97-a_3_865,
author={Chungsoo LIM, Soojeong LEE, Jae-Hun CHOI, Joon-Hyuk CHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation},
year={2014},
volume={E97-A},
number={3},
pages={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 smartphone as well as on a desktop computer with various background noises confirm the effectiveness of the proposed technique.},
keywords={},
doi={10.1587/transfun.E97.A.865},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - Efficient Implementation of Statistical Model-Based Voice Activity Detection Using Taylor Series Approximation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 865
EP - 868
AU - Chungsoo LIM
AU - Soojeong LEE
AU - Jae-Hun CHOI
AU - Joon-Hyuk CHANG
PY - 2014
DO - 10.1587/transfun.E97.A.865
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E97-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2014
AB - 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.
ER -
English
