# Speech Probing on SUPERB

Source: [Speech Probing on SUPERB](<https://www.sota2.com/research/sota/speech-probing-on-superb>)

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

Data updated: 2026-04-21T12:56:27.552Z

Evaluation of speech representation quality using the SUPERB benchmark, focusing on specific probing tasks such as Phonetic Recognition (PR), Speaker Identification (SID), Emotion Recognition (ER), and Intent Classification (IC).

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 | Speech Probing |
| Dataset (including any stated split) | SUPERB |
| Metric | PR Error Rate |
| Unit | PERCENT |
| Direction | Lower 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

- [PR Error Rate](<https://www.sota2.com/research/sota/speech-probing-on-superb.md?metric=PR%20Error%20Rate>): Lower is better; unit: PERCENT.

- [SID Accuracy](<https://www.sota2.com/research/sota/speech-probing-on-superb.md?metric=SID%20Accuracy>): Higher is better; unit: PERCENT.

- [ER Accuracy](<https://www.sota2.com/research/sota/speech-probing-on-superb.md?metric=ER%20Accuracy>): Higher is better; unit: PERCENT.

- [IC Accuracy](<https://www.sota2.com/research/sota/speech-probing-on-superb.md?metric=IC%20Accuracy>): Higher is better; unit: PERCENT.

- [SUPERB Score](<https://www.sota2.com/research/sota/speech-probing-on-superb.md?metric=SUPERB%20Score>): Higher is better; unit: SCALAR.

## Recorded results

| Method | PR Error Rate | Result date | Report paper |
| --- | --- | --- | --- |
| Transformer | 7.49 | Not recorded | 68fa79681e209131cea7d72e |
| ExtBiMamba | 10.65 | Not recorded | 68fa79681e209131cea7d72e |
| ExtBiMamba | 11.38 | Not recorded | 68fa79681e209131cea7d72e |
| Transformer | 12.21 | Not recorded | 68fa79681e209131cea7d72e |

### Transformer

PR Error Rate: 7.49. Result ID: 69e772df47f34ce924cf3233.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79681e209131cea7d72e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa703d1e209131cea49db1.md>)

[Implementation](<https://github.com/tensorflow/tensor2tensor>)

Recorded evaluation configuration: {"Size":"Base","Parameters (M)":"94.7"}. This record does not assert independent reproduction.

### ExtBiMamba

PR Error Rate: 10.65. Result ID: 69e772df47f34ce924cf3234.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79681e209131cea7d72e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79681e209131cea7d72e.md>)

Recorded evaluation configuration: {"Size":"Base","Parameters (M)":"94.3"}. This record does not assert independent reproduction.

### ExtBiMamba

PR Error Rate: 11.38. Result ID: 69e772df47f34ce924cf3236.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79681e209131cea7d72e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79681e209131cea7d72e.md>)

Recorded evaluation configuration: {"Size":"Small","Parameters (M)":"23.2"}. This record does not assert independent reproduction.

### Transformer

PR Error Rate: 12.21. Result ID: 69e772df47f34ce924cf3235.

[Reporting paper](<https://www.sota2.com/research/paper/68fa79681e209131cea7d72e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa703d1e209131cea49db1.md>)

[Implementation](<https://github.com/tensorflow/tensor2tensor>)

Recorded evaluation configuration: {"Size":"Small","Parameters (M)":"23.5"}. This record does not assert independent reproduction.

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