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Environmental Sound Classification

Classification of Environmental Sounds. Most often sounds found in Urban environments. Task related to noise monitoring.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 11–20 of 46 papers

Title	Date	Tasks	Status	Hype	Score
Rethinking CNN Models for Audio Classification	Jul 22, 2020	Audio ClassificationClassification	CodeCode Available	1	5
CRNNs for Urban Sound Tagging with spatiotemporal context	Aug 24, 2020	Audio ClassificationAudio Tagging	CodeCode Available	1	5
Urban Sound Classification : striving towards a fair comparison	Oct 22, 2020	Audio ClassificationAudio Tagging	CodeCode Available	1	5
Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning	Feb 17, 2025	Audio ClassificationAudio Tagging	CodeCode Available	1	5
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices	Mar 5, 2021	Audio ClassificationEnvironmental Sound Classification	CodeCode Available	1	5
Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification	Jun 4, 2025	ClassificationDomain Adaptation	CodeCode Available	0	5
Audio Barlow Twins: Self-Supervised Audio Representation Learning	Sep 28, 2022	Environmental Sound ClassificationEvent Detection	CodeCode Available	0	5
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification	Jan 23, 2017	ClassificationData Augmentation	CodeCode Available	0	5
Masked Conditional Neural Networks for Environmental Sound Classification	May 25, 2018	ClassificationEnvironmental Sound Classification	CodeCode Available	0	5
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification	Aug 15, 2016	Data AugmentationDictionary Learning	CodeCode Available	0	5

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All datasets UrbanSound8K ESC-50 FSD50K

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	AudioCLIP	Accuracy	90.07	—	Unverified
2	MATPAC (SSL, linear eval)	Accuracy	89.4	—	Unverified
3	1DCNN	Accuracy	89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AudioCLIP	Accuracy	97.15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	[ABT] AudioNTT	mAP	0.47	—	Unverified