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Analysis of Binaural Features for Supervised Localization in Reverberant Environments

Recent research on supervised binaural sound source localization methods shows that the performance is promising even in reverberant environments when the training and testing environments can match perfectly. However, these supervised methods may still suffer somewhat performance degradation when the intensity of the reverberation increases markedly. This paper studies the impact of reverberation on binaural features theoretically. This study reveals that reverberation is a major factor in reducing the accuracy of supervised binaural localization. Accordingly, we use a binaural dereverberation algorithm to reduce the effect of reverberation and thus to improve the performance of the existing supervised binaural localization methods. Experimental results demonstrate that dereverberation can improve the localization accuracy of these supervised binaural localization methods in reverberant environments.

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Permalink: http://www.aes.org/e-lib/browse.cfm?elib=18446

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