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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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07/08/2021
Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases
Automatic classification of disordered speech can provide an objective t...
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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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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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06/07/2019
Audio tagging with noisy labels and minimal supervision
This paper introduces Task 2 of the DCASE2019 Challenge, titled "Audio t...
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01/04/2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels
As sound event classification moves towards larger datasets, issues of l...
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07/26/2018
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
This paper describes Task 2 of the DCASE 2018 Challenge, titled "General...
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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
