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
PaddleSpeech: An Easy-to-Use All-in-One Speech ToolkitCode6
AudioCLIP: Extending CLIP to Image, Text and AudioCode2
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification NetworkCode1
Urban Sound Classification : striving towards a fair comparisonCode1
ESResNet: Environmental Sound Classification Based on Visual Domain ModelsCode1
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained DevicesCode1
Rethinking CNN Models for Audio ClassificationCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
CRNNs for Urban Sound Tagging with spatiotemporal contextCode1
Tiny Transformers for Environmental Sound Classification at the EdgeCode1
SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound ClassificationCode1
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathCode1
Comparison of semi-supervised deep learning algorithms for audio classificationCode1
Masked Latent Prediction and Classification for Self-Supervised Audio Representation LearningCode1
Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP BlockCode1
Weakly Supervised Convolutional Dictionary Learning for Multi-Label ClassificationCode0
Audio Barlow Twins: Self-Supervised Audio Representation LearningCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound ClassificationCode0
Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound ClassificationCode0
End-to-End Environmental Sound Classification using a 1D Convolutional Neural NetworkCode0
Environmental Sound Classification on Microcontrollers using Convolutional Neural NetworksCode0
Face: Fast, Accurate and Context-Aware Audio Annotation and ClassificationCode0
Masked Conditional Neural Networks for Environmental Sound ClassificationCode0
Ubicoustics: Plug-and-Play Acoustic Activity RecognitionCode0
Urban Sound Tagging using Convolutional Neural NetworksCode0
Utilizing Domain Knowledge in End-to-End Audio ProcessingCode0
Environmental Sound Classification with Parallel Temporal-spectral Attention—0
Listening to the World Improves Speech Command Recognition—0
An Ensemble of Convolutional Neural Networks for Audio Classification—0
ECHO: Environmental Sound Classification with Hierarchical Ontology-guided Semi-Supervised Learning—0
Mixer is more than just a model—0
Detection of Adversarial Attacks and Characterization of Adversarial Subspace—0
Responding to Challenge Call of Machine Learning Model Development in Diagnosing Respiratory Disease Sounds—0
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks—0
Attention based Convolutional Recurrent Neural Network for Environmental Sound Classification—0
Studying the Effect of Audio Filters in Pre-Trained Models for Environmental Sound Classification—0
Sub-Spectrogram Segmentation for Environmental Sound Classification via Convolutional Recurrent Neural Network and Score Level Fusion—0
Synthetic training set generation using text-to-audio models for environmental sound classification—0
A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning—0
AI for Earth: Rainforest Conservation by Acoustic Surveillance—0
EnvGAN: Adversarial Synthesis of Environmental Sounds for Data Augmentation—0
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network—0
Focal Modulation Networks for Interpretable Sound Classification—0
Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers—0
EchoVest: Real-Time Sound Classification and Depth Perception Expressed through Transcutaneous Electrical Nerve Stimulation—0
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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