research
∙
06/30/2023
Dataset balancing can hurt model performance
Machine learning from training data with a skewed distribution of exampl...
share
research
∙
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...
research
∙
05/05/2021
Self-Supervised Learning from Automatically Separated Sound Scenes
Real-world sound scenes consist of time-varying collections of sound sou...
research
∙
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...
research
∙
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 ...
research
∙
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....
research
∙
11/06/2017
Unsupervised Learning of Semantic Audio Representations
Even in the absence of any explicit semantic annotation, vast collection...
research
∙
09/29/2016
CNN Architectures for Large-Scale Audio Classification
Convolutional Neural Networks (CNNs) have proven very effective in image...
research
∙
12/12/2012
