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EL. K.. Kokkinis, and J. Mourjopoulos, "Unmixing Acoustic Sources in Real Reverberant Environments for Close-Microphone Applications," J. Audio Eng. Soc., vol. 58, no. 11, pp. 907-922, (2010 November.). doi: EL. K.. Kokkinis, and J. Mourjopoulos, "Unmixing Acoustic Sources in Real Reverberant Environments for Close-Microphone Applications," J. Audio Eng. Soc., vol. 58 Issue 11 pp. 907-922, (2010 November.). doi:
Abstract: When recording multiple musicians with close microphones in a real space, each microphone captures both the sound of the intended instrument and the undesired interference from other sources. The blind source separation (BSS) framework can be employed in order to suppress the leakage components. However typical convolutive BSS algorithms—attempting to blindly identify and invert the acoustic mixing system, which comprises several room impulse responses—do not achieve the desired result. In comparison, a Wiener filter was found to achieve superior performance in the separation of two audio sources, while being simple and computationally efficient.

@article{kokkinis2010unmixing,
author={kokkinis, elias k. and mourjopoulos, john},
journal={journal of the audio engineering society},
title={unmixing acoustic sources in real reverberant environments for close-microphone applications},
year={2010},
volume={58},
number={11},
pages={907-922},
doi={},
month={november},} @article{kokkinis2010unmixing,
author={kokkinis, elias k. and mourjopoulos, john},
journal={journal of the audio engineering society},
title={unmixing acoustic sources in real reverberant environments for close-microphone applications},
year={2010},
volume={58},
number={11},
pages={907-922},
doi={},
month={november},
abstract={when recording multiple musicians with close microphones in a real space, each microphone captures both the sound of the intended instrument and the undesired interference from other sources. the blind source separation (bss) framework can be employed in order to suppress the leakage components. however typical convolutive bss algorithms—attempting to blindly identify and invert the acoustic mixing system, which comprises several room impulse responses—do not achieve the desired result. in comparison, a wiener filter was found to achieve superior performance in the separation of two audio sources, while being simple and computationally efficient.},}

TY - paper
TI - Unmixing Acoustic Sources in Real Reverberant Environments for Close-Microphone Applications
SP - 907 EP - 922
AU - Kokkinis, Elias K.
AU - Mourjopoulos, John
PY - 2010
JO - Journal of the Audio Engineering Society
IS - 11
VO - 58
VL - 58
Y1 - November 2010 TY - paper
TI - Unmixing Acoustic Sources in Real Reverberant Environments for Close-Microphone Applications
SP - 907 EP - 922
AU - Kokkinis, Elias K.
AU - Mourjopoulos, John
PY - 2010
JO - Journal of the Audio Engineering Society
IS - 11
VO - 58
VL - 58
Y1 - November 2010
AB - When recording multiple musicians with close microphones in a real space, each microphone captures both the sound of the intended instrument and the undesired interference from other sources. The blind source separation (BSS) framework can be employed in order to suppress the leakage components. However typical convolutive BSS algorithms—attempting to blindly identify and invert the acoustic mixing system, which comprises several room impulse responses—do not achieve the desired result. In comparison, a Wiener filter was found to achieve superior performance in the separation of two audio sources, while being simple and computationally efficient.