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Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions

arXiv 2005.14623 ↗First posted 29 May 2020eess.AScited by 48

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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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  1. 2021Efficient Training of Audio Transformers with Patchoutcited by 222
  2. 2021Voice2Series: Reprogramming Acoustic Models for Time Series Classificationcited by 91
  3. 2023NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systemscited by 27
  4. 2022Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classificationcited by 15
  5. 2022TC-SKNet with GridMask for Low-complexity Classification of Acoustic scenecited by 12
  6. 2022A Passive Similarity based CNN Filter Pruning for Efficient Acoustic Scene Classificationcited by 10
  7. 2022QTI Submission to DCASE 2021: residual normalization for device-imbalanced acoustic scene classification with efficient designcited by 10
  8. 2023Device-Robust Acoustic Scene Classification via Impulse Response Augmentationcited by 10
  9. 2021MIMII DUE: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection with Domain Shifts due to Changes in Operational and Environmental Conditionscited by 9
  10. 2022Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devicescited by 7
  11. 2024Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shiftcited by 7
  12. 2022SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detectioncited by 5
36 more
  1. 2021A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classificationcited by 4
  2. 2021Fairness and underspecification in acoustic scene classification: The case for disaggregated evaluationscited by 4
  3. 2021Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalizationcited by 4
  4. 2023Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classificationcited by 4
  5. 2025Crossing the Species Divide: Transfer Learning from Speech to Animal Soundscited by 4
  6. 2023Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Modelscited by 3
  7. 2024Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learningcited by 3
  8. 2021A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfercited by 2
  9. 2022Low-complexity CNNs for Acoustic Scene Classificationcited by 2
  10. 2024Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importancecited by 2
  11. 2021Attentive max feature map and joint training for acoustic scene classificationcited by 1
  12. 2021Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devicescited by 1
  13. 2022Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Contextcited by 1
  14. 2022Audio Denoising for Robust Audio Fingerprintingcited by 1
  15. 2023Compressing audio CNNs with graph centrality based filter pruningcited by 1
  16. 2024autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Taskscited by 1
  17. 2025Creating a Good Teacher for Knowledge Distillation in Acoustic Scene Classificationcited by 1
  18. 2021Over-Parameterization and Generalization in Audio Classificationcited by 0
  19. 2022A study on joint modeling and data augmentation of multi-modalities for audio-visual scene classificationcited by 0
  20. 2022A Comparative Study on Approaches to Acoustic Scene Classification using CNNscited by 0
  21. 2022Low-complexity CNNs for Acoustic Scene Classificationcited by 0
  22. 2023Music Augmentation and Denoising For Peak-Based Audio Fingerprintingcited by 0
  23. 2024Deep Space Separable Distillation for Lightweight Acoustic Scene Classificationcited by 0
  24. 2024Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instructioncited by 0
  25. 2025Audio-FLAN: An Instruction-Following Dataset for Unified Audio Understanding and Generation of Speech, Music, and Soundcited by 0
  26. 2025Improving Acoustic Scene Classification with City Featurescited by 0
  27. 2025Quantum-Inspired Genetic Algorithm for Robust Source Separation in Smart City Acousticscited by 0
  28. 2025Adaptive Knowledge Distillation using a Device-Aware Teacher for Low-Complexity Acoustic Scene Classificationcited by 0
  29. 2025An Entropy-Guided Curriculum Learning Strategy for Data-Efficient Acoustic Scene Classification under Domain Shiftcited by 0
  30. 2025DDSC: Dynamic Dual-Signal Curriculum for Data-Efficient Acoustic Scene Classification under Domain Shiftcited by 0
  31. 2025LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detectioncited by 0
  32. 2026SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Samplingcited by 0
  33. 2026How Class Ontology and Data Scale Affect Audio Transfer Learningcited by 0
  34. 2026Auto-AEG: Scalable Data Construction for Open-Vocabulary Audio Event Groundingcited by 0
  35. 2026Acoustic UAV Detection in Battlefield Scenarios: Handling Noise, Domain Shift, and Weak Labelscited by 0
  36. 2026LAST: Looped Audio Spectrogram Transformercited by 0