224 citations · 650 across the 25 of their papers we have counts for
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cs.SD2018
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation
Delia Fano Yela, Dan Stowell, Mark Sandler
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 separatio…
cs.MM2018
Similarity measures for vocal-based drum sample retrieval using deep convolutional auto-encoders
Adib Mehrabi, Keunwoo Choi, Simon Dixon +1
The expressive nature of the voice provides a powerful medium for communicating sonic ideas, motivating recent research on methods for query by vocalisation. Meanwhile, deep learni…