# Environmental Sound Classification on ARCA23K-FSD (fold 0)

Source: [Environmental Sound Classification on ARCA23K-FSD (fold 0)](<https://www.sota2.com/research/sota/environmental-sound-classification-on-arca23k-fsd-fold-0>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-06-02T07:37:05.666Z

Evaluation of environmental sound classification performance on fold 0 of the ARCA23K-FSD dataset, typically measured by Accuracy and Standard Deviation.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Environmental Sound Classification |
| Dataset (including any stated split) | ARCA23K-FSD (fold 0) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/environmental-sound-classification-on-arca23k-fsd-fold-0.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Standard Deviation](<https://www.sota2.com/research/sota/environmental-sound-classification-on-arca23k-fsd-fold-0.md?metric=Standard%20Deviation>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ZeroDiffusion | 28.79 | Not recorded | 68fa79d11e209131cea7f8b6 |
| ALE | 24.2 | Not recorded | 68fa79d11e209131cea7f8b6 |
| CADA-VAE | 23.98 | Not recorded | 68fa79d11e209131cea7f8b6 |
| LisGAN | 21.83 | Not recorded | 68fa79d11e209131cea7f8b6 |

### ZeroDiffusion

Accuracy: 28.79. Result ID: 6a1e881afbc373592c18548e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79d11e209131cea7f8b6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79d11e209131cea7f8b6.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction.

### ALE

Accuracy: 24.2. Result ID: 6a1e881afbc373592c18548b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79d11e209131cea7f8b6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d31e209131ce9fb5fb.md>)

[Implementation](<https://code.google.com/p/word2vec/>)

Recorded evaluation configuration: {"Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction.

### CADA-VAE

Accuracy: 23.98. Result ID: 6a1e881afbc373592c18548d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79d11e209131cea7f8b6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa658a1e209131cea0af70.md>)

[Implementation](<https://github.com/edgarschnfld/CADA-VAE-PyTorch>)

Recorded evaluation configuration: {"Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction.

### LisGAN

Accuracy: 21.83. Result ID: 6a1e881afbc373592c18548c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79d11e209131cea7f8b6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65a21e209131cea0b6fd.md>)

[Implementation](<https://www.sota2.com/github.com/lijin118/LisGAN>)

Recorded evaluation configuration: {"Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.