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 26–46 of 46 papers

TitleStatusHype
Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers—0
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
EnvGAN: Adversarial Synthesis of Environmental Sounds for Data Augmentation—0
An Ensemble of Convolutional Neural Networks for Audio Classification—0
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