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 1–46 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
Urban Sound Classification : striving towards a fair comparisonCode1
CRNNs for Urban Sound Tagging with spatiotemporal contextCode1
Rethinking CNN Models for Audio ClassificationCode1
An Ensemble of Convolutional Neural Networks for Audio Classification—0
ESResNet: Environmental Sound Classification Based on Visual Domain ModelsCode1
Environmental Sound Classification with Parallel Temporal-spectral Attention—0
Detection of Adversarial Attacks and Characterization of Adversarial Subspace—0
Urban Sound Tagging using Convolutional Neural NetworksCode0
AI for Earth: Rainforest Conservation by Acoustic Surveillance—0
Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion—0
Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification—0
Environmental Sound Classification on Microcontrollers using Convolutional Neural NetworksCode0
End-to-End Environmental Sound Classification using a 1D Convolutional Neural NetworkCode0
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network—0
Ubicoustics: Plug-and-Play Acoustic Activity RecognitionCode0
Masked Conditional Neural Networks for Environmental Sound ClassificationCode0
Utilizing Domain Knowledge in End-to-End Audio ProcessingCode0
Listening to the World Improves Speech Command Recognition—0
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks—0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
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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