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Joaquin Perez-Lapillo

1 paper here

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author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

cs.LG2019

Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy

Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde

In recent years, deep learning has surpassed traditional approaches to the problem of singing voice separation. The Wave-U-Net is a recent deep network architecture that operates d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.