14 citations · 47 across the 13 of their papers we have counts for
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cs.SD2022
Improving Source Separation by Explicitly Modeling Dependencies Between Sources
Ethan Manilow, Curtis Hawthorne, Cheng-Zhi Anna Huang +2
We propose a new method for training a supervised source separation system that aims to learn the interdependent relationships between all combinations of sources in a mixture. Rat…
cs.HC2022★ 1 cited
Reproducible Subjective Evaluation
Max Morrison, Brian Tang, Gefei Tan +1
Human perceptual studies are the gold standard for the evaluation of many research tasks in machine learning, linguistics, and psychology. However, these studies require significan…