IEICE TRANSACTIONS on Fundamentals
Speech Enhancement Using Improved Adaptive Null-Forming in Frequency Domain with Postfilter
Summary :
In this letter, a two channel frequency domain speech enhancement algorithm is proposed. The algorithm is designed to achieve better overall performance with relatively small array size. An improved version of adaptive null-forming is used, in which noise cancelation is implemented in auditory subbands. And an OM-LSA based postfiltering stage further purifies the output. The algorithm also features interaction between the array processing and the postfilter to make the filter adaptation more robust. This approach achieves considerable improvement on signal-to-noise ratio (SNR) and subjective quality of the desired speech. Experiments confirm the effectiveness of the proposed system.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.12 pp.3812-3816
- Publication Date
- 2008/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.12.3812
- Type of Manuscript
- LETTER
- Category
- Speech and Hearing
Authors
Keyword
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Heng ZHANG, Qiang FU, Yonghong YAN, "Speech Enhancement Using Improved Adaptive Null-Forming in Frequency Domain with Postfilter" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 12, pp. 3812-3816, December 2008, doi: 10.1093/ietfec/e91-a.12.3812.
Abstract: In this letter, a two channel frequency domain speech enhancement algorithm is proposed. The algorithm is designed to achieve better overall performance with relatively small array size. An improved version of adaptive null-forming is used, in which noise cancelation is implemented in auditory subbands. And an OM-LSA based postfiltering stage further purifies the output. The algorithm also features interaction between the array processing and the postfilter to make the filter adaptation more robust. This approach achieves considerable improvement on signal-to-noise ratio (SNR) and subjective quality of the desired speech. Experiments confirm the effectiveness of the proposed system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.12.3812/_p
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@ARTICLE{e91-a_12_3812,
author={Heng ZHANG, Qiang FU, Yonghong YAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Speech Enhancement Using Improved Adaptive Null-Forming in Frequency Domain with Postfilter},
year={2008},
volume={E91-A},
number={12},
pages={3812-3816},
abstract={In this letter, a two channel frequency domain speech enhancement algorithm is proposed. The algorithm is designed to achieve better overall performance with relatively small array size. An improved version of adaptive null-forming is used, in which noise cancelation is implemented in auditory subbands. And an OM-LSA based postfiltering stage further purifies the output. The algorithm also features interaction between the array processing and the postfilter to make the filter adaptation more robust. This approach achieves considerable improvement on signal-to-noise ratio (SNR) and subjective quality of the desired speech. Experiments confirm the effectiveness of the proposed system.},
keywords={},
doi={10.1093/ietfec/e91-a.12.3812},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Speech Enhancement Using Improved Adaptive Null-Forming in Frequency Domain with Postfilter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3812
EP - 3816
AU - Heng ZHANG
AU - Qiang FU
AU - Yonghong YAN
PY - 2008
DO - 10.1093/ietfec/e91-a.12.3812
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2008
AB - In this letter, a two channel frequency domain speech enhancement algorithm is proposed. The algorithm is designed to achieve better overall performance with relatively small array size. An improved version of adaptive null-forming is used, in which noise cancelation is implemented in auditory subbands. And an OM-LSA based postfiltering stage further purifies the output. The algorithm also features interaction between the array processing and the postfilter to make the filter adaptation more robust. This approach achieves considerable improvement on signal-to-noise ratio (SNR) and subjective quality of the desired speech. Experiments confirm the effectiveness of the proposed system.
ER -
English
