# Automatic Music Transcription on MusicNet (test)

Source: [Automatic Music Transcription on MusicNet (test)](<https://www.sota2.com/research/sota/automatic-music-transcription-on-musicnet-test>)

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

Data updated: 2026-02-26T05:23:29.360Z

Evaluation of Automatic Music Transcription performance on the test split of the MusicNet dataset, typically measured using APS (Average Precision Score).

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 | Automatic Music Transcription |
| Dataset (including any stated split) | MusicNet (test) |
| Metric | APS |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [APS](<https://www.sota2.com/research/sota/automatic-music-transcription-on-musicnet-test.md?metric=APS>): Higher is better; unit: PERCENT.

## Recorded results

| Method | APS | Result date | Report paper |
| --- | --- | --- | --- |
| Complex Transformer | 74.22 | Not recorded | 68fa6a791e209131cea28601 |
| Deep Complex Network | 72.9 | Not recorded | 68fa6a791e209131cea28601 |
| Concatenated Transformer | 71.3 | Not recorded | 68fa6a791e209131cea28601 |
| Deep Real Network | 69.8 | Not recorded | 68fa6a791e209131cea28601 |
| cgRNN | 53 | Not recorded | 68fa6a791e209131cea28601 |

### Complex Transformer

APS: 74.22. Result ID: 698e392affc3901de09bc855.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

[Implementation](<https://github.com/muqiaoy/dl_signal>)

Recorded evaluation configuration: {"# Parameters":"11.61M"}. This record does not assert independent reproduction.

### Deep Complex Network

APS: 72.9. Result ID: 698e392affc3901de09bc853.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64141e209131cea029a6.md>)

[Implementation](<http://github.com/ChihebTrabelsi/deep_complex_networks>)

Recorded evaluation configuration: {"# Parameters":"17.14M"}. This record does not assert independent reproduction.

### Concatenated Transformer

APS: 71.3. Result ID: 698e392affc3901de09bc854.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

Recorded evaluation configuration: {"# Parameters":"9.79M"}. This record does not assert independent reproduction.

### Deep Real Network

APS: 69.8. Result ID: 698e392affc3901de09bc852.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64141e209131cea029a6.md>)

[Implementation](<http://github.com/ChihebTrabelsi/deep_complex_networks>)

Recorded evaluation configuration: {"# Parameters":"10.00M"}. This record does not assert independent reproduction.

### cgRNN

APS: 53. Result ID: 698e392affc3901de09bc851.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a791e209131cea28601.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5ee01e209131ce9e5f4f.md>)

Recorded evaluation configuration: {"# Parameters":"2.36M"}. This record does not assert independent reproduction.

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