Abstract
Sound Source Localization (SSL) has a wide application in speech separation, recognition and enhancement. Binaural sound source localization based on human spatial hearing mechanism is an important research field of SSL. The recent binaural SSL research is focused on the system robust against noise and reverberation. In order to improve the localization performance in degraded environment, this paper proposes an algorithm to adaptively select the ‘good’ sub-bands to compute the binaural localization cues. Firstly, sub-band Signal-Noise Ratio (SNR) is estimated based on the autocorrelation matrix of binaural sound signals. Then, Inter-aural Time Difference (ITD) is computed by adaptively selecting the sub-bands which have the high SNR. Since the ITD is calculated through the sub-bands which are less affected by the noise, the sound source azimuth is estimated more accurate. The simulation results show that compared to the conventional binaural SSL algorithm, the localization accuracy of the proposed algorithm has been improved significantly.
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