Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions
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Abstract (arXiv)
This paper presents the details of Task 1: Acoustic Scene Classification in the DCASE 2020 Challenge. The task consists of two subtasks: classification of data from multiple devices, requiring good generalization properties, and classification using low-complexity solutions. Here we describe the datasets and baseline systems. After the challenge submission deadline, challenge results and analysis of the submissions will be added.
Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 May 2020.
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Citing papers per year: 2021: 10; 2022: 12; 2023: 6; 2024: 6; 2025: 9; 2026: 5.
48 papers.
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- 2021Efficient Training of Audio Transformers with Patchoutcited by 222
- 2021Voice2Series: Reprogramming Acoustic Models for Time Series Classificationcited by 91
- 2023NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systemscited by 27
- 2022Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classificationcited by 15
- 2022TC-SKNet with GridMask for Low-complexity Classification of Acoustic scenecited by 12
- 2022A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classificationcited by 10
- 2022QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient designcited by 10
- 2023Device-Robust Acoustic Scene Classification via Impulse Response Augmentationcited by 10
- 2021MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditionscited by 9
- 2022Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devicescited by 7
- 2024Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shiftcited by 7
- 2022SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detectioncited by 5
36 more
- 2021A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classificationcited by 4
- 2021Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluationscited by 4
- 2021Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalizationcited by 4
- 2023Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classificationcited by 4
- 2025Crossing the Species Divide: Transfer Learning from Speech to Animal Soundscited by 4
- 2023Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Modelscited by 3
- 2024Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learningcited by 3
- 2021A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfercited by 2
- 2022Low-complexity CNNs for Acoustic Scene Classificationcited by 2
- 2024Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importancecited by 2
- 2021Attentive max feature map and joint training for acoustic scene classificationcited by 1
- 2021Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devicescited by 1
- 2022Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Contextcited by 1
- 2022Audio Denoising for Robust Audio Fingerprintingcited by 1
- 2023Compressing audio CNNs with graph centrality based filter pruningcited by 1
- 2024autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Taskscited by 1
- 2025Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classificationcited by 1
- 2021Over-Parameterization and Generalization in Audio Classificationcited by 0
- 2022A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classificationcited by 0
- 2022A Comparative Study on Approaches to Acoustic Scene Classification using CNNscited by 0
- 2022Low-complexity CNNs for Acoustic Scene Classificationcited by 0
- 2023Music Augmentation and Denoising For Peak-Based Audio Fingerprintingcited by 0
- 2024Deep Space Separable Distillation for Lightweight Acoustic Scene Classificationcited by 0
- 2024Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instructioncited by 0
- 2025Audio-FLAN: An Instruction-Following Dataset for Unified Audio Understanding and Generation of Speech, Music, and Soundcited by 0
- 2025Improving Acoustic Scene Classification with City Featurescited by 0
- 2025Quantum-Inspired Genetic Algorithm for Robust Source Separation in Smart City Acousticscited by 0
- 2025Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classificationcited by 0
- 2025An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shiftcited by 0
- 2025DDSC: Dynamic Dual-Signal Curriculum for Data-Efficient Acoustic Scene Classification under Domain Shiftcited by 0
- 2025LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detectioncited by 0
- 2026SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Samplingcited by 0
- 2026How Class Ontology and Data Scale Affect Audio Transfer Learningcited by 0
- 2026Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Groundingcited by 0
- 2026Acoustic UAV Detection in Battlefield Scenarios: Handling Noise, Domain Shift, and Weak Labelscited by 0
- 2026LAST: Looped Audio Spectrogram Transformercited by 0
- 2026LAST: Looped Audio Spectrogram Transformer1 Oct 2026
- 2026Acoustic UAV Detection in Battlefield Scenarios: Handling Noise, Domain Shift, and Weak Labels14 Aug 2026
- 2026Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding5 Jul 2026
- 2026How Class Ontology and Data Scale Affect Audio Transfer Learning26 Mar 2026
- 2026SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling1 Feb 2026
- 2025LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection19 Dec 2025
- 2025DDSC: Dynamic Dual-Signal Curriculum for Data-Efficient Acoustic Scene Classification under Domain Shift20 Oct 2025
- 2025An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shift14 Sep 2025
- 2025Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification11 Sep 2025
- 2025Crossing the Species Divide: Transfer Learning from Speech to Animal Sounds4 Sep 2025
- 2025Quantum-Inspired Genetic Algorithm for Robust Source Separation in Smart City Acoustics10 Apr 2025
- 2025Improving Acoustic Scene Classification with City Features21 Mar 2025
36 more
- 2025Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classification14 Mar 2025
- 2025Audio-FLAN: An Instruction-Following Dataset for Unified Audio Understanding and Generation of Speech, Music, and Sound23 Feb 2025
- 2024autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks16 Dec 2024
- 2024Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning1 Nov 2024
- 2024Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instruction18 Sep 2024
- 2024Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance12 Aug 2024
- 2024Deep Space Separable Distillation for Lightweight Acoustic Scene Classification6 May 2024
- 2024Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift5 Feb 2024
- 2023Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models24 Oct 2023
- 2023Music Augmentation and Denoising For Peak-Based Audio Fingerprinting20 Oct 2023
- 2023Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classification28 Sep 2023
- 2023Device-Robust Acoustic Scene Classification via Impulse Response Augmentation12 May 2023
- 2023Compressing audio CNNs with graph centrality based filter pruning5 May 2023
- 2023NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems10 Apr 2023
- 2022Audio Denoising for Robust Audio Fingerprinting21 Dec 2022
- 2022SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detection11 Nov 2022
- 2022Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context16 Oct 2022
- 2022TC-SKNet with GridMask for Low-complexity Classification of Acoustic scene5 Oct 2022
- 2022Low-complexity CNNs for Acoustic Scene Classification2 Aug 2022
- 2022Low-complexity CNNs for Acoustic Scene Classification23 Jul 2022
- 2022QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient design28 Jun 2022
- 2022Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification24 Jun 2022
- 2022A Comparative Study on Approaches to Acoustic Scene Classification using CNNs26 Apr 2022
- 2022A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classification29 Mar 2022
- 2022Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices23 Mar 2022
- 2022A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classification7 Mar 2022
- 2021Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization12 Nov 2021
- 2021Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices18 Oct 2021
- 2021A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer16 Oct 2021
- 2021Efficient Training of Audio Transformers with Patchout11 Oct 2021
- 2021Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluations4 Oct 2021
- 2021Over-Parameterization and Generalization in Audio Classification19 Jul 2021
- 2021A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification3 Jul 2021
- 2021Voice2Series: Reprogramming Acoustic Models for Time Series Classification17 Jun 2021
- 2021MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditions6 May 2021
- 2021Attentive max feature map and joint training for acoustic scene classification15 Apr 2021
- 2021Efficient Training of Audio Transformers with Patchoutcited by 222
- 2021Voice2Series: Reprogramming Acoustic Models for Time Series Classificationcited by 91
- 2023NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systemscited by 27
- 2022Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classificationcited by 15
- 2022TC-SKNet with GridMask for Low-complexity Classification of Acoustic scenecited by 12
- 2022A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classificationcited by 10
- 2022QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient designcited by 10
- 2023Device-Robust Acoustic Scene Classification via Impulse Response Augmentationcited by 10
- 2021MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditionscited by 9
- 2022Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devicescited by 7
- 2024Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shiftcited by 7
- 2022SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detectioncited by 5
12 most cited of 48 All 48 (JSON)
- 2026LAST: Looped Audio Spectrogram Transformer1 Oct 2026
- 2026Acoustic UAV Detection in Battlefield Scenarios: Handling Noise, Domain Shift, and Weak Labels14 Aug 2026
- 2026Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Grounding5 Jul 2026
- 2026How Class Ontology and Data Scale Affect Audio Transfer Learning26 Mar 2026
- 2026SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling1 Feb 2026
- 2025LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection19 Dec 2025
- 2025DDSC: Dynamic Dual-Signal Curriculum for Data-Efficient Acoustic Scene Classification under Domain Shift20 Oct 2025
- 2025An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shift14 Sep 2025
- 2025Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classification11 Sep 2025
- 2025Crossing the Species Divide: Transfer Learning from Speech to Animal Sounds4 Sep 2025
- 2025Quantum-Inspired Genetic Algorithm for Robust Source Separation in Smart City Acoustics10 Apr 2025
- 2025Improving Acoustic Scene Classification with City Features21 Mar 2025
12 newest of 48 All 48 (JSON)