Environmental Sound Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

27 shown of 27 papers with code (46 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.

• Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
  15 Aug 2016 5 repositories listed
  We show that the improved performance stems from the combination of a deep, high-capacity model and an augmented training set: this combination outperforms both the proposed CNN without augmentation and a "shallow"…
• AudioCLIP: Extending CLIP to Image, Text and Audio
  24 Jun 2021 4 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  AudioCLIP achieves new state-of-the-art results in the Environmental Sound Classification (ESC) task, out-performing other approaches by reaching accuracies of 90.
• Rethinking CNN Models for Audio Classification
  22 Jul 2020 3 repositories listed
  Besides, we show that even though we use the pretrained model weights for initialization, there is variance in performance in various output runs of the same model.
• PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit
  20 May 2022 2 repositories listed
  PaddleSpeech is an open-source all-in-one speech toolkit.
• CRNNs for Urban Sound Tagging with spatiotemporal context
  24 Aug 2020 2 repositories listed
  This paper describes CRNNs we used to participate in Task 5 of the DCASE 2020 challenge.
• End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network
  18 Apr 2019 2 repositories listed
  In this paper, we present an end-to-end approach for environmental sound classification based on a 1D Convolution Neural Network (CNN) that learns a representation directly from the audio signal.
• Masked Conditional Neural Networks for Environmental Sound Classification
  25 May 2018 2 repositories listed
  We have evaluated the MCLNN performance using the Urbansound8k dataset of environmental sounds.
• Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification
  4 Jun 2025 1 repository listed
  Audio-text models are widely used in zero-shot environmental sound classification as they alleviate the need for annotated data.
• Weakly Supervised Convolutional Dictionary Learning for Multi-Label Classification
  11 Mar 2025 1 repository listed
  Convolutional Dictionary Learning (CDL) has emerged as a powerful approach for signal representation by learning translation-invariant features through convolution operations.
• Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
  17 Feb 2025 1 repository listed
  Therefore, we propose a new method: MAsked latenT Prediction And Classification (MATPAC), which is trained with two pretext tasks solved jointly.
• Face: Fast, Accurate and Context-Aware Audio Annotation and Classification
  7 Mar 2023 1 repository listed
  This paper presents a context-aware framework for feature selection and classification procedures to realize a fast and accurate audio event annotation and classification.
• Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block
  5 Nov 2022 1 repository listed
  Recently, massive architectures based on Convolutional Neural Network (CNN) and self-attention mechanisms have become necessary for audio classification.
• Audio Barlow Twins: Self-Supervised Audio Representation Learning
  28 Sep 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The Barlow Twins self-supervised learning objective requires neither negative samples or asymmetric learning updates, achieving results on a par with the current state-of-the-art within Computer Vision.
• Continual Learning For On-Device Environmental Sound Classification
  15 Jul 2022 1 repository listed
  Experimental results on the DCASE 2019 Task 1 and ESC-50 dataset show that our proposed method outperforms baseline continual learning methods on classification accuracy and computational efficiency, indicating our…
• End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network
  25 Apr 2022 1 repository listed
  While efficient architectures and a plethora of augmentations for end-to-end image classification tasks have been suggested and heavily investigated, state-of-the-art techniques for audio classifications still rely on…
• AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath
  15 Mar 2022 1 repository listed
  AUCO ResNet has proved to provide state of art results on many datasets.
• Tiny Transformers for Environmental Sound Classification at the Edge
  22 Mar 2021 1 repository listed
  With the growth of the Internet of Things and the rise of Big Data, data processing and machine learning applications are being moved to cheap and low size, weight, and power (SWaP) devices at the edge, often in the…
• Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
  5 Mar 2021 1 repository listed
  Significant efforts are being invested to bring state-of-the-art classification and recognition to edge devices with extreme resource constraints (memory, speed, and lack of GPU support).
• SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification
  2 Mar 2021 1 repository listed
  Our extensive benchmark experiments show that our hybrid deep network models trained with combined contrastive and cross-entropy loss achieved the state-of-the-art performance on three benchmark datasets ESC-10, ESC-50,…
• Comparison of semi-supervised deep learning algorithms for audio classification
  16 Feb 2021 1 repository listed
  In all but one cases, MM, RMM, and FM outperformed MT and DCT significantly, MM and RMM being the best methods in most experiments.
• Urban Sound Classification : striving towards a fair comparison
  22 Oct 2020 1 repository listed
  Sometimes authors copy-pasting the results of the original papers which is not helping reproducibility.
• ESResNet: Environmental Sound Classification Based on Visual Domain Models
  15 Apr 2020 1 repository listed
  Environmental Sound Classification (ESC) is an active research area in the audio domain and has seen a lot of progress in the past years.
• Urban Sound Tagging using Convolutional Neural Networks
  27 Sep 2019 1 repository listed
  The proposed model uses log-scaled Mel-spectrogram as the representation format for the audio data.
• Environmental Sound Classification on Microcontrollers using Convolutional Neural Networks
  15 May 2019 1 repository listed
  Noise monitoring using Wireless Sensor Networks are being applied in order to understand and help mitigate these noise problems.
• Ubicoustics: Plug-and-Play Acoustic Activity Recognition
  14 Oct 2018 1 repository listed
  Despite sound being a rich source of information, computing devices with microphones do not leverage audio to glean useful insights about their physical and social context.
• Utilizing Domain Knowledge in End-to-End Audio Processing
  1 Dec 2017 1 repository listed
  End-to-end neural network based approaches to audio modelling are generally outperformed by models trained on high-level data representations.
• Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
  23 Jan 2017 1 repository listed
  We show that the improved performance stems from the combination of a deep, high-capacity model and an augmented training set: this combination outperforms both the proposed CNN without augmentation and a “shallow”…

Syntology lines on 2 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.