SOTAVerified

Environmental Sound Classification

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 46 papers

TitleStatusHype
Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound ClassificationCode0
Weakly Supervised Convolutional Dictionary Learning for Multi-Label ClassificationCode0
Masked Latent Prediction and Classification for Self-Supervised Audio Representation LearningCode1
ECHO: Environmental Sound Classification with Hierarchical Ontology-guided Semi-Supervised Learning—0
Studying the Effect of Audio Filters in Pre-Trained Models for Environmental Sound Classification—0
Synthetic training set generation using text-to-audio models for environmental sound classification—0
Mixer is more than just a model—0
Focal Modulation Networks for Interpretable Sound Classification—0
EchoVest: Real-Time Sound Classification and Depth Perception Expressed through Transcutaneous Electrical Nerve Stimulation—0
Face: Fast, Accurate and Context-Aware Audio Annotation and ClassificationCode0
Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP BlockCode1
Audio Barlow Twins: Self-Supervised Audio Representation LearningCode0
Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers—0
Continual Learning For On-Device Environmental Sound ClassificationCode1
PaddleSpeech: An Easy-to-Use All-in-One Speech ToolkitCode6
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification NetworkCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds—0
A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning—0
AudioCLIP: Extending CLIP to Image, Text and AudioCode2
EnvGAN: Adversarial Synthesis of Environmental Sounds for Data Augmentation—0
Tiny Transformers for Environmental Sound Classification at the EdgeCode1
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained DevicesCode1
SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound ClassificationCode1
Comparison of semi-supervised deep learning algorithms for audio classificationCode1
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All datasetsUrbanSound8KESC-50FSD50K

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AudioCLIPAccuracy90.07—Unverified
2MATPAC (SSL, linear eval)Accuracy89.4—Unverified
31DCNNAccuracy89—Unverified
#ModelMetricClaimedVerifiedStatus
1AudioCLIPAccuracy97.15—Unverified
#ModelMetricClaimedVerifiedStatus
1[ABT] AudioNTTmAP0.47—Unverified