AES E-Library

M. Lee, and K. Sung, "A Mixing Matrix Estimation Method for Blind Source Separation of Underdetermined Audio Mixture," Paper 8798, (2012 October.). doi: M. Lee, and K. Sung, "A Mixing Matrix Estimation Method for Blind Source Separation of Underdetermined Audio Mixture," Paper 8798, (2012 October.). doi:
Abstract: A new mixing matrix estimation method for under-determined blind source separation of audio signals is proposed. By statistically modeling the local features, i.e., the magnitude ratio and phase difference of the mixtures, in a time-frequency region, a region can have information of the mixing angle of a source with reliability amounted to its likelihood. Regional data are then clustered with statistical tests based on their likelihood to produce estimates for the mixing angle of the sources as well as the number of them. Experimental results show that the proposed mixing matrix estimation algorithm outperform the existing methods.

@article{lee2012a,
author={lee, mingu and sung, keong-mo},
journal={journal of the audio engineering society},
title={a mixing matrix estimation method for blind source separation of underdetermined audio mixture},
year={2012},
volume={},
number={},
pages={},
doi={},
month={october},} @article{lee2012a,
author={lee, mingu and sung, keong-mo},
journal={journal of the audio engineering society},
title={a mixing matrix estimation method for blind source separation of underdetermined audio mixture},
year={2012},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={a new mixing matrix estimation method for under-determined blind source separation of audio signals is proposed. by statistically modeling the local features, i.e., the magnitude ratio and phase difference of the mixtures, in a time-frequency region, a region can have information of the mixing angle of a source with reliability amounted to its likelihood. regional data are then clustered with statistical tests based on their likelihood to produce estimates for the mixing angle of the sources as well as the number of them. experimental results show that the proposed mixing matrix estimation algorithm outperform the existing methods.},}

TY - paper
TI - A Mixing Matrix Estimation Method for Blind Source Separation of Underdetermined Audio Mixture
SP - EP -
AU - Lee, Mingu
AU - Sung, Keong-Mo
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2012 TY - paper
TI - A Mixing Matrix Estimation Method for Blind Source Separation of Underdetermined Audio Mixture
SP - EP -
AU - Lee, Mingu
AU - Sung, Keong-Mo
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2012
AB - A new mixing matrix estimation method for under-determined blind source separation of audio signals is proposed. By statistically modeling the local features, i.e., the magnitude ratio and phase difference of the mixtures, in a time-frequency region, a region can have information of the mixing angle of a source with reliability amounted to its likelihood. Regional data are then clustered with statistical tests based on their likelihood to produce estimates for the mixing angle of the sources as well as the number of them. Experimental results show that the proposed mixing matrix estimation algorithm outperform the existing methods.