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General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline

arXiv 1807.09902 ↗First posted 26 Jul 2018cs.SD cs.LG eess.AScited by 30

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Abstract (arXiv)

This paper describes Task 2 of the DCASE 2018 Challenge, titled "General-purpose audio tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle platform as "Freesound General-Purpose Audio Tagging Challenge". The goal of the task is to build an audio tagging system that can recognize the category of an audio clip from a subset of 41 diverse categories drawn from the AudioSet Ontology. We present the task, the dataset prepared for the competition, and a baseline system.

Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jul 2018.

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Citing papers per year: 2021: 7; 2022: 6; 2023: 2; 2024: 6; 2025: 5; 2026: 4.

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  1. 2021Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Datacited by 27
  2. 2025InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialoguecited by 27
  3. 2022Real-Time Target Sound Extractioncited by 22
  4. 2025Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learningcited by 17
  5. 2024Sound Event Detection and Localization with Distance Estimationcited by 13
  6. 2025CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speechcited by 11
  7. 2022Robust Time Series Denoising with Learnable Wavelet Packet Transformcited by 10
  8. 2023Amortised Invariance Learning for Contrastive Self-Supervisioncited by 8
  9. 2021Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Coughcited by 7
  10. 2021Anomalous Sound Detection with Machine Learning: A Systematic Reviewcited by 5
  11. 2021Improving weakly supervised sound event detection with self-supervised auxiliary taskscited by 4
  12. 2024Cross-attention Inspired Selective State Space Models for Target Sound Extractioncited by 4
18 more
  1. 2021ARCA23K: An audio dataset for investigating open-set label noisecited by 3
  2. 2023MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representationscited by 3
  3. 2025Unsupervised Single-Channel Audio Separation with Diffusion Source Priorscited by 3
  4. 2024Multichannel-to-Multichannel Target Sound Extraction Using Direction and Timestamp Cluescited by 2
  5. 2021Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Miningcited by 1
  6. 2022Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classificationcited by 1
  7. 2021Impact of data-splits on generalization: Identifying COVID-19 from cough and contextcited by 0
  8. 2022Automatic Audio Captioning using Attention weighted Event based Embeddingscited by 0
  9. 2022Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Frameworkcited by 0
  10. 2022Representation Learning for the Automatic Indexing of Sound Effects Librariescited by 0
  11. 2024uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixturescited by 0
  12. 2024CATSE: A Context-Aware Framework for Causal Target Sound Extractioncited by 0
  13. 2024Robust online reconstruction of continuous-time signals from a lean spike train ensemble codecited by 0
  14. 2025Hierarchical Label Propagation: A Model-Size-Dependent Performance Booster for AudioSet Taggingcited by 0
  15. 2026Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancementcited by 0
  16. 2026Exploring Efficient Waveform Diffusion Models for Foley Sound Generationcited by 0
  17. 2026Correlation-Guided Encoder Selection for Multi-Encoder Large Audio-Language Modelscited by 0
  18. 2026Discrete vs. Continuous: A Comprehensive Study of Unified Audio Understanding in LALMscited by 0