mlsanityData to 14 Oct 2026

Sound Event Detection: A Tutorial

arXiv 2107.05463 ↗First posted 12 Jul 2021eess.AScited by 51

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Abstract (arXiv)

The goal of automatic sound event detection (SED) methods is to recognize what is happening in an audio signal and when it is happening. In practice, the goal is to recognize at what temporal instances different sounds are active within an audio signal. This paper gives a tutorial presentation of sound event detection, including its definition, signal processing and machine learning approaches, evaluation, and future perspectives.

Key facts. Cited by 51 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Jul 2021.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 5; 2022: 7; 2023: 6; 2024: 11; 2025: 13; 2026: 9.

51 papers.

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  1. 2023WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Researchcited by 267
  2. 2022HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detectioncited by 176
  3. 2024FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMscited by 122
  4. 2021Sound-Guided Semantic Image Manipulationcited by 35
  5. 2022Sound-Guided Semantic Video Generationcited by 35
  6. 2022M^4I: Multi-modal Models Membership Inferencecited by 34
  7. 2021PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutionscited by 26
  8. 2022Automated Audio Captioning: An Overview of Recent Progress and New Challengescited by 23
  9. 2023Multi-Scale Attention for Audio Question Answeringcited by 13
  10. 2025When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Modelscited by 13
  11. 2025Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learningcited by 13
  12. 2023DPM-TSE: A Diffusion Probabilistic Model for Target Sound Extractioncited by 12
38 more
  1. 2022Simple Pooling Front-ends For Efficient Audio Classificationcited by 9
  2. 2025Detect Any Sound: Open-Vocabulary Sound Event Detection with Multi-Modal Queriescited by 9
  3. 2025Recognizing Ornaments in Vocal Indian Art Music with Active Annotationcited by 5
  4. 2021Audiomer: A Convolutional Transformer For Keyword Spottingcited by 4
  5. 2023DiffSED: Sound Event Detection with Denoising Diffusioncited by 4
  6. 2024What Are They Doing? Joint Audio-Speech Co-Reasoningcited by 4
  7. 2024Language-based Audio Moment Retrievalcited by 4
  8. 2025ZeroSep: Separate Anything in Audio with Zero Trainingcited by 4
  9. 2025FlexSED: Towards Open-Vocabulary Sound Event Detectioncited by 4
  10. 2022Segment-level Metric Learning for Few-shot Bioacoustic Event Detectioncited by 3
  11. 2022Balanced Deep CCA for Bird Vocalization Detectioncited by 3
  12. 2024Prototype based Masked Audio Model for Self-Supervised Learning of Sound Event Detectioncited by 3
  13. 2025Via Score to Performance: Efficient Human-Controllable Long Song Generation with Bar-Level Symbolic Notationcited by 3
  14. 2024Dual Knowledge Distillation for Efficient Sound Event Detectioncited by 2
  15. 2025Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learningcited by 2
  16. 2024Sound event localization and classification using WASN in Outdoor Environmentcited by 1
  17. 2024Automated Bioacoustic Monitoring for South African Bird Species on Unlabeled Datacited by 1
  18. 2025LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Taggingcited by 1
  19. 2025A multi-head deep fusion model for recognition of cattle foraging events using sound and movement signalscited by 1
  20. 2025SynSonic: Augmenting Sound Event Detection through Text-to-Audio Diffusion ControlNet and Effective Sample Filteringcited by 1
  21. 2026Towards Fine-grained Temporal Perception: Post-Training Large Audio-Language Models with Audio-Side Time Promptcited by 1
  22. 2026TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Modelscited by 1
  23. 2021Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sorensen-Dice Coefficient Loss and Transfer Learningcited by 0
  24. 2021Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Datasetcited by 0
  25. 2023SNeL: A Structured Neuro-Symbolic Language for Entity-Based Multimodal Scene Understandingcited by 0
  26. 2023Object-Size-Driven Design of Convolutional Neural Networks: Virtual Axle Detection based on Raw Datacited by 0
  27. 2024A Data-Centric Framework for Machine Listening Projects: Addressing Large-Scale Data Acquisition and Labeling through Active Learningcited by 0
  28. 2024MTDA-HSED: Mutual-Assistance Tuning and Dual-Branch Aggregating for Heterogeneous Sound Event Detectioncited by 0
  29. 2024The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detectioncited by 0
  30. 2024On-device Anomaly Detection in Conveyor Belt Operationscited by 0
  31. 2025Formula-Supervised Sound Event Detection: Pre-Training Without Real Datacited by 0
  32. 2025Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardwarecited by 0
  33. 2026Automatic Detection and Analysis of Singing Mistakes for Music Pedagogycited by 0
  34. 2026Geo-ATBench: A Benchmark for Geospatial Audio Tagging with Geospatial Semantic Contextcited by 0
  35. 2026Spectrogram features for audio and speech analysiscited by 0
  36. 2026Exploring Feature Extraction Technique Parameters for Acoustic Gunshot Classificationcited by 0
  37. 2026Cover First, Disagree Softly: Rethinking Mismatch-First Active Learning for Frame-Level Audio Classificationcited by 0
  38. 2026Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Datacited by 0

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