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Does K matter? k-NN hubness analysis for kernel additive modelling vocal separation
Kernel Additive Modelling (KAM) is a framework for source separation aiming to explicitly model inherent properties of sound sources to help with their identification and separation. KAM separates a given source by applying ...
Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge
Assessing the presence and abundance of birds is important for monitoring specific species as well as overall ecosystem health. Many birds are most readily detected by their sounds, and thus, passive acoustic monitoring ...