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
본 논문에서는 기존의 2-마이크 알고리즘이 제대로 작동하지 못하는 다중 잡음 소스 환경에서 비정상 간섭 잡음을 처리하기 위한 2-마이크 잡음 감소 방법을 제안합니다. 제안된 알고리즘에서는 여러 간섭 잡음원을 각 부대역에서 가상으로 통합된 하나의 잡음원으로 간주하고 가상 도착 방향을 사용하여 통합 잡음의 스펙트럼을 추정합니다. 이를 위해 음성 활성 기간에도 잘 작동하는 두 개의 마이크만을 사용하여 통합 소음에 대한 방향 찾기를 제안합니다. 단일 채널 잡음 추정 접근 방식을 통합한 다음 잡음이 있는 신호에서 이를 빼고 최종적으로 원하는 대상 신호를 향상시킴으로써 잡음 스펙트럼 추정이 더욱 향상됩니다. 제안된 알고리즘의 성능은 다양한 조건에서 기존 알고리즘과 비교 및 평가되었다. 실험 결과는 제안된 알고리즘이 객관적이고 주관적인 음성 품질 측정 측면에서 다양한 조건에서 기존 알고리즘보다 우수한 성능을 보인다는 것을 보여줍니다.
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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
부
@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},}
부
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 -