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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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–110 of 132 papers

Title	Date	Tasks	Status	Hype	Score
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices	Oct 18, 2021	Acoustic Scene ClassificationClassification	—Unverified	0	0
A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification	Jun 20, 2017	Acoustic Scene ClassificationGeneral Classification	—Unverified	0	0
A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification	Jul 3, 2021	Acoustic Scene ClassificationData Augmentation	—Unverified	0	0
An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances	Jul 31, 2020	Acoustic Scene ClassificationClassification	—Unverified	0	0
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network	Apr 5, 2021	Acoustic Scene ClassificationClassification	—Unverified	0	0
An evaluation of data augmentation methods for sound scene geotagging	Oct 9, 2021	Acoustic Scene ClassificationClassification	—Unverified	0	0
A punishment voting algorithm based on super categories construction for acoustic scene classification	Jul 11, 2018	Acoustic Scene ClassificationClustering	—Unverified	0	0
A Squeeze-and-Excitation and Transformer based Cross-task System for Environmental Sound Recognition	Mar 16, 2022	Acoustic Scene ClassificationData Augmentation	—Unverified	0	0
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)	May 2, 2024	Acoustic Scene ClassificationEvent Detection	—Unverified	0	0
A Transformer-based Audio Captioning Model with Keyword Estimation	Jul 1, 2020	Acoustic Scene ClassificationAudio captioning	—Unverified	0	0

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All datasets CochlScene DCASE 2019 Mobile TAU Urban Acoustic Scenes 2019 TUT Acoustic Scenes 2017 TUT Urban Acoustic Scenes 2018

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Audio Flamingo	1:1 Accuracy	0.83	—	Unverified
2	Qwen-Audio	1:1 Accuracy	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Basic + Spectrum Correction	Accuracy	70.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Two-stage ensemble system	1:1 Accuracy	81.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Qwen-Audio	1:1 Accuracy	0.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ERGL: event relational graph representation learning	Acc	78.1	—	Unverified