8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

DOA Estimation of Speech Signals using Semi-Blind Source Separation Techniques

Ilyas Potamitis, Panos Zervas, Nikos Fakotakis

Wire Communications Lab, Greece

In this paper we investigate the application of complex independent component analysis (ICA) to the direction of arrival (DOA) estimation problem of wideband signals. The ICA based technique is semi-blind in the sense that the structure of the array is known to be uniform and linear (ULA). We show that when the array is ULA the mixing matrix is forced to have the structure imposed by the directivity vectors of the microphone array. ICA is applied to the spectral bins having the higher SNRs. The DOAs are derived from the histogram and clustering of the angle of arrivals of all high SNR spectral bins. The effectiveness of the approach is evaluated on speech signals and is com-pared against a variety of wideband DOA estimation tech-niques based on second order statistics. Finally, a toolbox for DOA estimation of wideband sources is made available at:

Full Paper

Bibliographic reference.  Potamitis, Ilyas / Zervas, Panos / Fakotakis, Nikos (2004): "DOA estimation of speech signals using semi-blind source separation techniques", In INTERSPEECH-2004, 2857-2860.