As illustrated by these results, all methods show a decreasing trend in localization error when a larger training set is used, however, the median localization error of the proposed SCE does not vary much with the changing size of the training set, and shows a flatter pattern.
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Toward learning robust contrastive embeddings for binaural sound source localization.
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