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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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12/09/2022
Audiovisual Masked Autoencoders
Can we leverage the audiovisual information already present in video to ...
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10/14/2022
Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system
The aim of the Detection and Classification of Acoustic Scenes and Event...
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03/06/2022
HEAR 2021: Holistic Evaluation of Audio Representations
What audio embedding approach generalizes best to a wide range of downst...
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07/01/2021
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
Recent studies have put into question the commonly assumed shift invaria...
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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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11/15/2020
Unsupervised Contrastive Learning of Sound Event Representations
Self-supervised representation learning can mitigate the limitations in ...
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11/02/2020
What's All the FUSS About Free Universal Sound Separation Data?
We introduce the Free Universal Sound Separation (FUSS) dataset, a new c...
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11/02/2020
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes
We propose a benchmark of state-of-the-art sound event detection systems...
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10/01/2020
FSD50K: an Open Dataset of Human-Labeled Sound Events
Most existing datasets for sound event recognition (SER) are relatively ...
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07/08/2020
Improving Sound Event Detection In Domestic Environments Using Sound Separation
Performing sound event detection on real-world recordings often implies ...
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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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10/26/2019
Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers
Label noise is emerging as a pressing issue in sound event classificatio...
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08/27/2019
A hybrid parametric-deep learning approach for sound event localization and detection
This work describes and discusses an algorithm submitted to the Sound Ev...
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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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11/21/2018
Facilitating the Manual Annotation of Sounds When Using Large Taxonomies
Properly annotated multimedia content is crucial for supporting advances...
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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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06/19/2018
