Spatial feature learning for robust binaural sound source localization using a composite feature vector
The performance of binaural speech source localization systems can be significantly impacted by an imperfect selection of spatial localization cues, due to the limited bandwidth of speech, and the effects of noise. In order to mitigate these impacts, this paper presents a novel method that combines a deterministic localization approach with a spatial feature learning process. Here, we (i) obtain a composite feature vector derived from analysing the mutual information between different spatial...[Show more]
|Collections||ANU Research Publications|
|Book Title:||2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 20-25 March 2016|
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