Sound Event Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

20 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 92 papers with code (194 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Towards Deep Learning Models Resistant to Adversarial Attacks
  19 Jun 2017 59 repositories listed Syntology ran 9 of 17 samples · 8 unverified · 13 pointer-only (licence)
  Its principled nature also enables us to identify methods for both training and attacking neural networks that are reliable and, in a certain sense, universal.
• PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions
  8 Oct 2021 4 repositories listed Syntology ran 5 of 34 samples · 29 unverified
  In this paper, we define the parameterization of hypercomplex convolutional layers and introduce the family of parameterized hypercomplex neural networks (PHNNs) that are lightweight and efficient large-scale models.
• WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research
  30 Mar 2023 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  To address this data scarcity issue, we introduce WavCaps, the first large-scale weakly-labelled audio captioning dataset, comprising approximately 400k audio clips with paired captions.
• Effective Pre-Training of Audio Transformers for Sound Event Detection
  14 Sep 2024 2 repositories listed
  For five transformers, we obtain a substantial performance improvement over previously available checkpoints both on AudioSet frame-level predictions and on frame-level sound event detection downstream tasks, confirming…
• Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection
  27 Mar 2024 2 repositories listed
  A recent development in the field is the introduction of the task known as few-shot bioacoustic sound event detection, which aims to train a versatile animal sound detector using only a small set of audio samples.
• Performance and energy balance: a comprehensive study of state-of-the-art sound event detection systems
  5 Oct 2023 2 repositories listed
  In recent years, deep learning systems have shown a concerning trend toward increased complexity and higher energy consumption.
• Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks
  7 Jun 2023 2 repositories listed
  In order to tackle both clip-level and frame-level tasks, this paper proposes Audio Teacher-Student Transformer (ATST), with a clip-level version (named ATST-Clip) and a frame-level version (named ATST-Frame),…
• Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
  5 Sep 2022 2 repositories listed
  Our system submitted to the DCASE 2022 Task 3 is based on our previous proposed Event-Independent Network V2 (EINV2) with a novel data augmentation method.
• RCT: Random Consistency Training for Semi-supervised Sound Event Detection
  21 Oct 2021 2 repositories listed
  Sound event detection (SED), as a core module of acoustic environmental analysis, suffers from the problem of data deficiency.
• Couple Learning for semi-supervised sound event detection
  12 Oct 2021 2 repositories listed
  The recently proposed Mean Teacher method, which exploits large-scale unlabeled data in a self-ensembling manner, has achieved state-of-the-art results in several semi-supervised learning benchmarks.
• ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection
  29 Oct 2020 2 repositories listed
  Conventional NN-based methods use two branches for a sound event detection (SED) target and a direction-of-arrival (DOA) target.
• SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks
  3 Mar 2020 2 repositories listed
  The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars.
• Learning Sound Event Classifiers from Web Audio with Noisy Labels
  4 Jan 2019 2 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  To foster the investigation of label noise in sound event classification we present FSDnoisy18k, a dataset containing 42.
• Adaptive pooling operators for weakly labeled sound event detection
  26 Apr 2018 2 repositories listed
  In this work, we treat SED as a multiple instance learning (MIL) problem, where training labels are static over a short excerpt, indicating the presence or absence of sound sources but not their temporal locality.
• Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
  4 Apr 2016 2 repositories listed
  In this paper we present an approach to polyphonic sound event detection in real life recordings based on bi-directional long short term memory (BLSTM) recurrent neural networks (RNNs).
• Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection
  27 May 2025 1 repository listed
  Bioacoustic sound event detection (BioSED) is crucial for biodiversity conservation but faces practical challenges during model development and training: limited amounts of annotated data, sparse events, species…
• Temporal Attention Pooling for Frequency Dynamic Convolution in Sound Event Detection
  17 Apr 2025 1 repository listed
  To address this limitation, we propose temporal attention pooling frequency dynamic convolution (TFD conv) to replace temporal average pooling with temporal attention pooling (TAP).
• Exploring Performance-Complexity Trade-Offs in Sound Event Detection Models
  14 Mar 2025 1 repository listed
  We target the problem of developing new low-complexity networks for the sound event detection task.
• JiTTER: Jigsaw Temporal Transformer for Event Reconstruction for Self-Supervised Sound Event Detection
  28 Feb 2025 1 repository listed
  Sound event detection (SED) has significantly benefited from self-supervised learning (SSL) approaches, particularly masked audio transformer for SED (MAT-SED), which leverages masked block prediction to reconstruct…
• Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event Detection
  2 Nov 2024 1 repository listed
  Sound Event Detection (SED) is challenging in noisy environments where overlapping sounds obscure target events.
• Prototype based Masked Audio Model for Self-Supervised Learning of Sound Event Detection
  26 Sep 2024 1 repository listed
  A significant challenge in sound event detection (SED) is the effective utilization of unlabeled data, given the limited availability of labeled data due to high annotation costs.
• Exploring Text-Queried Sound Event Detection with Audio Source Separation
  20 Sep 2024 1 repository listed Syntology ran 8 of 8 samples · 0 unverified
  To address this issue, we propose the text-queried SED (TQ-SED) framework.
• The Sounds of Home: A Speech-Removed Residential Audio Dataset for Sound Event Detection
  17 Sep 2024 1 repository listed
  This paper presents a residential audio dataset to support sound event detection research for smart home applications aimed at promoting wellbeing for older adults.
• MTDA-HSED: Mutual-Assistance Tuning and Dual-Branch Aggregating for Heterogeneous Sound Event Detection
  10 Sep 2024 1 repository listed
  Sound Event Detection (SED) plays a vital role in comprehending and perceiving acoustic scenes.
• MAT-SED: A Masked Audio Transformer with Masked-Reconstruction Based Pre-training for Sound Event Detection
  16 Aug 2024 1 repository listed
  Sound event detection (SED) methods that leverage a large pre-trained Transformer encoder network have shown promising performance in recent DCASE challenges.
• Multi-Iteration Multi-Stage Fine-Tuning of Transformers for Sound Event Detection with Heterogeneous Datasets
  17 Jul 2024 1 repository listed
  A single model and an ensemble, both based on our proposed training procedure, ranked first in Task 4 of the DCASE Challenge 2024.
• Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage Training
  17 Jul 2024 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  We fine-tune three large Audio Spectrogram Transformers, PaSST, BEATs, and ATST, on the joint DESED and MAESTRO datasets in a two-stage training procedure.
• WildDESED: An LLM-Powered Dataset for Wild Domestic Environment Sound Event Detection System
  4 Jul 2024 1 repository listed
  This work aims to advance sound event detection (SED) research by presenting a new large language model (LLM)-powered dataset namely wild domestic environment sound event detection (WildDESED).
• Self Training and Ensembling Frequency Dependent Networks with Coarse Prediction Pooling and Sound Event Bounding Boxes
  22 Jun 2024 1 repository listed
  Using best ensemble model, we applied self training to obtain pseudo label from DESED weak set, unlabeled set and AudioSet.
• Pushing the Limit of Sound Event Detection with Multi-Dilated Frequency Dynamic Convolution
  19 Jun 2024 1 repository listed
  From the results of extensive ablation studies, we discovered that not only multiple dynamic branches but also specific proportion of static branch helps SED.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.