SOTAVerified

Acoustic Scene Classification

The goal of acoustic scene classification is to classify a test recording into one of the provided predefined classes that characterizes the environment in which it was recorded.

Source: DCASE 2019 Source: DCASE 2018

Papers

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Showing 26–50 of 132 papers

TitleStatusHype
A Transformer-based Audio Captioning Model with Keyword Estimation—0
Attentive max feature map and joint training for acoustic scene classification—0
Acoustic Scene Classification: A Competition Review—0
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance—0
A Comparative Study on Approaches to Acoustic Scene Classification using CNNs—0
Deep Within-Class Covariance Analysis for Robust Deep Audio Representation Learning—0
Deep Learning Based Open Set Acoustic Scene Classification—0
DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes—0
Deep Neural Decision Forest for Acoustic Scene Classification—0
An evaluation of data augmentation methods for sound scene geotagging—0
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture—0
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network—0
Acoustic Scene Classification using Audio Tagging—0
Deep Space Separable Distillation for Lightweight Acoustic Scene Classification—0
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting—0
Capturing scattered discriminative information using a deep architecture in acoustic scene classification—0
Improving Acoustic Scene Classification with City Features—0
Acoustic Scene Classification—0
DD-CNN: Depthwise Disout Convolutional Neural Network for Low-complexity Acoustic Scene Classification—0
CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions—0
A punishment voting algorithm based on super categories construction for acoustic scene classification—0
Compressing audio CNNs with graph centrality based filter pruning—0
Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classification—0
Cross-task pre-training for on-device acoustic scene classification—0
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances—0
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All datasetsCochlSceneDCASE 2019 MobileTAU Urban Acoustic Scenes 2019TUT Acoustic Scenes 2017TUT Urban Acoustic Scenes 2018

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Audio Flamingo1:1 Accuracy0.83—Unverified
2Qwen-Audio1:1 Accuracy0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Basic + Spectrum CorrectionAccuracy70.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stage ensemble system1:1 Accuracy81.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Qwen-Audio1:1 Accuracy0.65—Unverified
#ModelMetricClaimedVerifiedStatus
1ERGL: event relational graph representation learningAcc78.1—Unverified