Acoustic signal separation of statistically independent sources using multiple microphones
- 1 January 1993
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2 (15206149) , 343-346 vol.2
- https://doi.org/10.1109/icassp.1993.319308
Abstract
A method for separating acoustic sources of sound that are statistically independent from multiple linear combinations of filtered versions of the sounds is presented. Whereas the covariance statistic can be used to achieve processed signals that are linearly independent, linear combinations of the sources, higher-order statistics can be used to achieve processed signals that contain only a signal from each source alone. It is shown that the fourth-order joint moment is an appropriate statistic to use as a measure of statistical independence. Results of simulations are presented that illustrate the potential of this approach.Keywords
This publication has 4 references indexed in Scilit:
- Adaptive single snapshot beamforming: a new concept for the rejection of nonstationary and coherent interferersIEEE Transactions on Signal Processing, 1992
- Directivity characteristics of adaptive microphone-array for noise reduction(AMNOR).Acoustical Science and Technology, 1991
- Computer-steered microphone arrays for sound transduction in large roomsThe Journal of the Acoustical Society of America, 1985
- Multimicrophone signal-processing technique to remove room reverberation from speech signalsThe Journal of the Acoustical Society of America, 1977