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 1–50 of 132 papers

TitleStatusHype
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue AbilitiesCode5
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language ModelsCode3
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile ApplicationCode1
Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data AugmentationCode1
A Two-Stage Approach to Device-Robust Acoustic Scene ClassificationCode1
Receptive-field-regularized CNN variants for acoustic scene classificationCode1
Spectrum Correction: Acoustic Scene Classification with Mismatched Recording DevicesCode1
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNsCode1
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural NetworksCode1
Device-Robust Acoustic Scene Classification via Impulse Response AugmentationCode1
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene ClassificationCode1
Audio Event-Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
DCASENET: A joint pre-trained deep neural network for detecting and classifying acoustic scenes and eventsCode1
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain ShiftCode1
Efficient Training of Audio Transformers with PatchoutCode1
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency DampingCode1
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional NetworksCode1
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices—0
Acoustic Scene Clustering Using Joint Optimization of Deep Embedding Learning and Clustering Iteration—0
Acoustic Scene Classification Based on a Large-margin Factorized CNN—0
Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge—0
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition—0
Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network—0
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)—0
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