# AI Music Detection on ArtifactBench (test)

Source: [AI Music Detection on ArtifactBench (test)](<https://www.sota2.com/research/sota/ai-music-detection-on-artifactbench-test>)

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

Data updated: 2026-04-20T08:41:32.328Z

Evaluation of model performance for AI Music Detection using the test split of the ArtifactBench dataset, reporting F1, Precision, and Recall scores.

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 | AI Music Detection |
| Dataset (including any stated split) | ArtifactBench (test) |
| Metric | F1 Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [F1 Score](<https://www.sota2.com/research/sota/ai-music-detection-on-artifactbench-test.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/ai-music-detection-on-artifactbench-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/ai-music-detection-on-artifactbench-test.md?metric=Recall>): Higher is better; unit: PERCENT.

## Recorded results

| Method | F1 Score | Result date | Report paper |
| --- | --- | --- | --- |
| ArtifactNet | 98.29 | Not recorded | 69e5b32d7d0172140ec7e165 |
| SpecTTTra | 77.13 | Not recorded | 69e5b32d7d0172140ec7e165 |
| CLAM | 75.76 | Not recorded | 69e5b32d7d0172140ec7e165 |

### ArtifactNet

F1 Score: 98.29. Result ID: 69e5e6b847f34ce924cc1f79.

[Reporting paper](<https://www.sota2.com/research/paper/69e5b32d7d0172140ec7e165.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e5b32d7d0172140ec7e165.md>)

[Implementation](<https://github.com/Intrect-io/artifactbench>)

Recorded evaluation configuration: {"Params":"4.0M","Threshold (τ)":"0.5"}. This record does not assert independent reproduction.

### SpecTTTra

F1 Score: 77.13. Result ID: 69e5e6b847f34ce924cc1f7b.

[Reporting paper](<https://www.sota2.com/research/paper/69e5b32d7d0172140ec7e165.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa771b1e209131cea7109c.md>)

Recorded evaluation configuration: {"Params":"19M","Threshold (τ)":"0.5"}. This record does not assert independent reproduction.

### CLAM

F1 Score: 75.76. Result ID: 69e5e6b847f34ce924cc1f7a.

[Reporting paper](<https://www.sota2.com/research/paper/69e5b32d7d0172140ec7e165.md>)

[Method origin paper](<https://www.sota2.com/research/paper/692e72aed6b0dd3342932415.md>)

Recorded evaluation configuration: {"Params":"194M","Threshold (τ)":"0.5"}. This record does not assert independent reproduction.

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