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AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation. (arXiv:2207.10141v1 [cs.SD])
July 22, 2022, 1:12 a.m. | Efthymios Tzinis, Scott Wisdom, Tal Remez, John R. Hershey
cs.CV updates on arXiv.org arxiv.org
We introduce AudioScopeV2, a state-of-the-art universal audio-visual
on-screen sound separation system which is capable of learning to separate
sounds and associate them with on-screen objects by looking at in-the-wild
videos. We identify several limitations of previous work on audio-visual
on-screen sound separation, including the coarse resolution of spatio-temporal
attention, poor convergence of the audio separation model, limited variety in
training and evaluation data, and failure to account for the trade off between
preservation of on-screen sounds and suppression of off-screen …
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