1.4k citations · 1.7k across the 26 of their papers we have counts for
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FlowGrad: Using Motion for Visual Sound Source Localization
Rajsuryan Singh, Pablo Zinemanas, Xavier Serra +2
Most recent work in visual sound source localization relies on semantic audio-visual representations learned in a self-supervised manner, and by design excludes temporal informatio…
Few-Shot Musical Source Separation
Yu Wang, Daniel Stoller, Rachel M. Bittner +1
Deep learning-based approaches to musical source separation are often limited to the instrument classes that the models are trained on and do not generalize to separate unseen inst…
How to Listen? Rethinking Visual Sound Localization
Ho-Hsiang Wu, Magdalena Fuentes, Prem Seetharaman +1
Localizing visual sounds consists on locating the position of objects that emit sound within an image. It is a growing research area with potential applications in monitoring natur…
Infrastructure-free, Deep Learned Urban Noise Monitoring at 100mW
Jihoon Yun, Sangeeta Srivastava, Dhrubojyoti Roy +6
The Sounds of New York City (SONYC) wireless sensor network (WSN) has been fielded in Manhattan and Brooklyn over the past five years, as part of a larger human-in-the-loop cyber-p…
A Study on Robustness to Perturbations for Representations of Environmental Sound
Sangeeta Srivastava, Ho-Hsiang Wu, Joao Rulff +5
Audio applications involving environmental sound analysis increasingly use general-purpose audio representations, also known as embeddings, for transfer learning. Recently, Holisti…