An Improved Voice Activity Detection Algorithm Employing Speech Enhancement Preprocessing
Summary :
In this paper, we first propose a new speech enhancement preprocessing algorithm by combining power subtraction method and maximal ratio combining technique, then apply it to both energy-based and statistical model-based VAD algorithm to improve the performance even in low SNR conditions. We also perform extensive computer simulations to demonstrate the performance improvement of the proposed VAD algorithm employing the proposed speech enhancement preprocessing algorithm under various background noise environments.
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- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.6 pp.1401-1405
- Publication Date
- 2001/06/01
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section PAPER (Special Section on Papers Selected from 2000 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2000))
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Yoon-Chang LEE, Sang-Sik AHN, "An Improved Voice Activity Detection Algorithm Employing Speech Enhancement Preprocessing" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 6, pp. 1401-1405, June 2001, doi: .
Abstract: In this paper, we first propose a new speech enhancement preprocessing algorithm by combining power subtraction method and maximal ratio combining technique, then apply it to both energy-based and statistical model-based VAD algorithm to improve the performance even in low SNR conditions. We also perform extensive computer simulations to demonstrate the performance improvement of the proposed VAD algorithm employing the proposed speech enhancement preprocessing algorithm under various background noise environments.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_6_1401/_p
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@ARTICLE{e84-a_6_1401,
author={Yoon-Chang LEE, Sang-Sik AHN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Improved Voice Activity Detection Algorithm Employing Speech Enhancement Preprocessing},
year={2001},
volume={E84-A},
number={6},
pages={1401-1405},
abstract={In this paper, we first propose a new speech enhancement preprocessing algorithm by combining power subtraction method and maximal ratio combining technique, then apply it to both energy-based and statistical model-based VAD algorithm to improve the performance even in low SNR conditions. We also perform extensive computer simulations to demonstrate the performance improvement of the proposed VAD algorithm employing the proposed speech enhancement preprocessing algorithm under various background noise environments.},
keywords={},
doi={},
ISSN={},
month={June},}
Copy
TY - JOUR
TI - An Improved Voice Activity Detection Algorithm Employing Speech Enhancement Preprocessing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1401
EP - 1405
AU - Yoon-Chang LEE
AU - Sang-Sik AHN
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2001
AB - In this paper, we first propose a new speech enhancement preprocessing algorithm by combining power subtraction method and maximal ratio combining technique, then apply it to both energy-based and statistical model-based VAD algorithm to improve the performance even in low SNR conditions. We also perform extensive computer simulations to demonstrate the performance improvement of the proposed VAD algorithm employing the proposed speech enhancement preprocessing algorithm under various background noise environments.
ER -
English
