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

Showing 125 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
Spectrum Correction: Acoustic Scene Classification with Mismatched Recording DevicesCode1
Receptive Field Regularization Techniques for Audio Classification and Tagging with Deep Convolutional Neural NetworksCode1
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
A Two-Stage Approach to Device-Robust Acoustic Scene ClassificationCode1
Receptive-field-regularized CNN variants for acoustic scene classificationCode1
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene ClassificationCode1
Efficient Training of Audio Transformers with PatchoutCode1
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain ShiftCode1
Device-Robust Acoustic Scene Classification via Impulse Response AugmentationCode1
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional NetworksCode1
Audio Event-Relational Graph Representation Learning for Acoustic Scene ClassificationCode1
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNsCode1
DCASENET: A joint pre-trained deep neural network for detecting and classifying acoustic scenes and eventsCode1
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency DampingCode1
Domain Information Control at Inference Time for Acoustic Scene ClassificationCode0
Efficient Similarity-based Passive Filter Pruning for Compressing CNNsCode0
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 ChallengeCode0
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene ClassificationCode0
Acoustic scene classification using auditory datasetsCode0
A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene ClassificationCode0
City classification from multiple real-world sound scenesCode0
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Benchmark Results

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