Zero-Shot Environment Sound Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

1 dataset 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

5 shown of 5 papers with code (6 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.

• LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
  3 Oct 2023 6 repositories listed Syntology ran 7 of 14 samples · 7 unverified
  We thus propose VIDAL-10M with Video, Infrared, Depth, Audio and their corresponding Language, naming as VIDAL-10M.
• 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.
• ImageBind: One Embedding Space To Bind Them All
  9 May 2023 3 repositories listed Syntology ran 24 of 34 samples · 10 unverified · 32 pointer-only (licence)
  We show that all combinations of paired data are not necessary to train such a joint embedding, and only image-paired data is sufficient to bind the modalities together.
• 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.
• ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
  18 May 2023 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  In this work, we explore a scalable way for building a general representation model toward unlimited modalities.

Syntology lines on 5 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.