A Two-Microphone Noise Reduction Method in Highly Non-stationary Multiple-Noise-Source Environments
Summary :
In this paper, we propose a two-microphone noise reduction method to deal with non-stationary interfering noises in multiple-noise-source environments in which the traditional two-microphone algorithms cannot function well. In the proposed algorithm, multiple interfering noise sources are regarded as one virtually integrated noise source in each subband, and the spectrum of the integrated noise is then estimated using its virtual direction of arrival. To do this, we suggest a direction finder for the integrated noise using only two microphones that performs well even in speech active periods. The noise spectrum estimate is further improved by integrating a single-channel noise estimation approach and then subtracted from that of the noisy signal, finally enhancing the desired target signal. The performance of the proposed algorithm is evaluated and compared with the traditional algorithms in various conditions. Experimental results demonstrate that the proposed algorithm outperforms the traditional algorithms in various conditions in terms of objective and subjective speech quality measures.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.6 pp.1337-1346
- Publication Date
- 2008/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.6.1337
- Type of Manuscript
- Special Section PAPER (Special Section on Acoustic Scene Analysis and Reproduction)
- Category
Authors
Keyword
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Junfeng LI, Masato AKAGI, Yoiti SUZUKI, "A Two-Microphone Noise Reduction Method in Highly Non-stationary Multiple-Noise-Source Environments" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 6, pp. 1337-1346, June 2008, doi: 10.1093/ietfec/e91-a.6.1337.
Abstract: In this paper, we propose a two-microphone noise reduction method to deal with non-stationary interfering noises in multiple-noise-source environments in which the traditional two-microphone algorithms cannot function well. In the proposed algorithm, multiple interfering noise sources are regarded as one virtually integrated noise source in each subband, and the spectrum of the integrated noise is then estimated using its virtual direction of arrival. To do this, we suggest a direction finder for the integrated noise using only two microphones that performs well even in speech active periods. The noise spectrum estimate is further improved by integrating a single-channel noise estimation approach and then subtracted from that of the noisy signal, finally enhancing the desired target signal. The performance of the proposed algorithm is evaluated and compared with the traditional algorithms in various conditions. Experimental results demonstrate that the proposed algorithm outperforms the traditional algorithms in various conditions in terms of objective and subjective speech quality measures.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.6.1337/_p
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@ARTICLE{e91-a_6_1337,
author={Junfeng LI, Masato AKAGI, Yoiti SUZUKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Two-Microphone Noise Reduction Method in Highly Non-stationary Multiple-Noise-Source Environments},
year={2008},
volume={E91-A},
number={6},
pages={1337-1346},
abstract={In this paper, we propose a two-microphone noise reduction method to deal with non-stationary interfering noises in multiple-noise-source environments in which the traditional two-microphone algorithms cannot function well. In the proposed algorithm, multiple interfering noise sources are regarded as one virtually integrated noise source in each subband, and the spectrum of the integrated noise is then estimated using its virtual direction of arrival. To do this, we suggest a direction finder for the integrated noise using only two microphones that performs well even in speech active periods. The noise spectrum estimate is further improved by integrating a single-channel noise estimation approach and then subtracted from that of the noisy signal, finally enhancing the desired target signal. The performance of the proposed algorithm is evaluated and compared with the traditional algorithms in various conditions. Experimental results demonstrate that the proposed algorithm outperforms the traditional algorithms in various conditions in terms of objective and subjective speech quality measures.},
keywords={},
doi={10.1093/ietfec/e91-a.6.1337},
ISSN={1745-1337},
month={June},}
Copy
TY - JOUR
TI - A Two-Microphone Noise Reduction Method in Highly Non-stationary Multiple-Noise-Source Environments
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1337
EP - 1346
AU - Junfeng LI
AU - Masato AKAGI
AU - Yoiti SUZUKI
PY - 2008
DO - 10.1093/ietfec/e91-a.6.1337
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2008
AB - In this paper, we propose a two-microphone noise reduction method to deal with non-stationary interfering noises in multiple-noise-source environments in which the traditional two-microphone algorithms cannot function well. In the proposed algorithm, multiple interfering noise sources are regarded as one virtually integrated noise source in each subband, and the spectrum of the integrated noise is then estimated using its virtual direction of arrival. To do this, we suggest a direction finder for the integrated noise using only two microphones that performs well even in speech active periods. The noise spectrum estimate is further improved by integrating a single-channel noise estimation approach and then subtracted from that of the noisy signal, finally enhancing the desired target signal. The performance of the proposed algorithm is evaluated and compared with the traditional algorithms in various conditions. Experimental results demonstrate that the proposed algorithm outperforms the traditional algorithms in various conditions in terms of objective and subjective speech quality measures.
ER -
English
