# Language Identification on EU dataset No Noise

Source: [Language Identification on EU dataset No Noise](<https://www.sota2.com/research/sota/language-identification-on-eu-dataset-no-noise>)

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

Data updated: 2026-02-26T05:27:06.601Z

Evaluation of Language Identification performance on the EU dataset No Noise, measured using Accuracy.

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 | Language Identification |
| Dataset (including any stated split) | EU dataset No Noise |
| Metric | Accuracy |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/language-identification-on-eu-dataset-no-noise.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| CRNN | 96.7 | Not recorded | 68fa7c221e209131cea8c9e4 |
| CRNN with Attention | 96.6 | Not recorded | 68fa7c221e209131cea8c9e4 |
| Inception-v3 CRNN | 96 | Not recorded | 68fa7c221e209131cea8c9e4 |
| CNN | 94.8 | Not recorded | 68fa7c221e209131cea8c9e4 |
| CRNN | 91 | Not recorded | 68fa7c221e209131cea8c9e4 |

### CRNN

Accuracy: 96.7. Result ID: 698b8f777a967eddb76f99e5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c221e209131cea8c9e4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c221e209131cea8c9e4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CRNN with Attention

Accuracy: 96.6. Result ID: 698b8f777a967eddb76f99e6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c221e209131cea8c9e4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c221e209131cea8c9e4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Inception-v3 CRNN

Accuracy: 96. Result ID: 698b8f777a967eddb76f99e3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c221e209131cea8c9e4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa639b1e209131ce9ff8af.md>)

[Implementation](<https://github.com/HPI-DeepLearning/crnn-lid>)

Recorded evaluation configuration: {"Reference":"Bartz et al (2017)"}. This record does not assert independent reproduction.

### CNN

Accuracy: 94.8. Result ID: 698b8f777a967eddb76f99e4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c221e209131cea8c9e4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c221e209131cea8c9e4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CRNN

Accuracy: 91. Result ID: 698b8f777a967eddb76f99e2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c221e209131cea8c9e4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c221e209131cea8c9e4.md>)

Recorded evaluation configuration: {"Reference":"Bartz et al (2017)"}. This record does not assert independent reproduction.

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