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06/30/2023
Dataset balancing can hurt model performance
Machine learning from training data with a skewed distribution of exampl...
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05/14/2021
The Benefit Of Temporally-Strong Labels In Audio Event Classification
To reveal the importance of temporal precision in ground truth audio eve...
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05/05/2021
Self-Supervised Learning from Automatically Separated Sound Scenes
Real-world sound scenes consist of time-varying collections of sound sou...
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11/02/2020
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
Recent progress in deep learning has enabled many advances in sound sepa...
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05/02/2020
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking
The study of label noise in sound event recognition has recently gained ...
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11/14/2019
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
Humans do not acquire perceptual abilities in the way we train machines....
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11/06/2017
Unsupervised Learning of Semantic Audio Representations
Even in the absence of any explicit semantic annotation, vast collection...
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09/29/2016
CNN Architectures for Large-Scale Audio Classification
Convolutional Neural Networks (CNNs) have proven very effective in image...
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12/12/2012