# Speech Intent Classification and Slot Filling on SLURP (test)

Source: [Speech Intent Classification and Slot Filling on SLURP (test)](<https://www.sota2.com/research/sota/speech-intent-classification-and-slot-filling-on-slurp-test>)

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

Data updated: 2026-02-26T05:47:16.083Z

Evaluation of joint performance for Speech Intent Classification and Slot Filling on the test split of the SLURP dataset, measured using Intent Accuracy and SLURP F1 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 | Speech Intent Classification and Slot Filling |
| Dataset (including any stated split) | SLURP (test) |
| Metric | Intent 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

- [Intent Accuracy](<https://www.sota2.com/research/sota/speech-intent-classification-and-slot-filling-on-slurp-test.md?metric=Intent%20Accuracy>): Higher is better; unit: PERCENT.

- [SLURP F1](<https://www.sota2.com/research/sota/speech-intent-classification-and-slot-filling-on-slurp-test.md?metric=SLURP%20F1>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Intent Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Fast Conformer | 90.68 | Not recorded | 68fa70bd1e209131cea4cf97 |
| Conformer | 90.14 | Not recorded | 68fa70bd1e209131cea4cf97 |
| SpeechBrain-SLU | 87.7 | Not recorded | 68fa70bd1e209131cea4cf97 |
| ESPnet-SLU | 86.52 | Not recorded | 68fa70bd1e209131cea4cf97 |

### Fast Conformer

Intent Accuracy: 90.68. Result ID: 699156843a6c314849076cc5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70bd1e209131cea4cf97.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70bd1e209131cea4cf97.md>)

[Implementation](<https://github.com/NVIDIA/NeMo>)

Recorded evaluation configuration: {"Decoder":"Transformer Decoder","Inference time (sec)":"191","Relative Speed-up":"1.1X","Batch size":"32"}. This record does not assert independent reproduction.

### Conformer

Intent Accuracy: 90.14. Result ID: 699156843a6c314849076cc4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70bd1e209131cea4cf97.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa678b1e209131cea16d0c.md>)

Recorded evaluation configuration: {"Decoder":"Transformer Decoder","Inference time (sec)":"210","Relative Speed-up":"1X","Batch size":"32"}. This record does not assert independent reproduction.

### SpeechBrain-SLU

Intent Accuracy: 87.7. Result ID: 699156843a6c314849076cc2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70bd1e209131cea4cf97.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d901e209131cea3aab8.md>)

[Implementation](<https://github.com/speechbrain/speechbrain/tree/develop/recipes>)

Recorded evaluation configuration: {"Encoder":"HuBERT pre-trained on LibriLight-60k"}. This record does not assert independent reproduction.

### ESPnet-SLU

Intent Accuracy: 86.52. Result ID: 699156843a6c314849076cc3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70bd1e209131cea4cf97.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf51e209131cea3138b.md>)

Recorded evaluation configuration: {"Encoder":"HuBERT pre-trained on LibriLight-60k"}. This record does not assert independent reproduction.

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