The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam kertas kerja ini, kami mula-mula mencadangkan algoritma prapemprosesan peningkatan pertuturan baharu dengan menggabungkan kaedah penolakan kuasa dan teknik gabungan nisbah maksimum, kemudian gunakannya pada kedua-dua algoritma VAD berasaskan tenaga dan model statistik untuk meningkatkan prestasi walaupun dalam keadaan SNR yang rendah. Kami juga melakukan simulasi komputer yang meluas untuk menunjukkan peningkatan prestasi algoritma VAD yang dicadangkan menggunakan algoritma prapemprosesan peningkatan pertuturan yang dicadangkan di bawah pelbagai persekitaran hingar latar belakang.
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Salinan
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
Salinan
@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},}
Salinan
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 -