# Multivariate Time Series Classification on Arabic-Voice (Accuracy)

Source: [Multivariate Time Series Classification on Arabic-Voice (Accuracy)](<https://www.sota2.com/research/sota/multivariate-time-series-classification-on-arabic-voice-accuracy>)

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

Data updated: 2026-02-26T05:27:29.142Z

Evaluation of Multivariate Time Series Classification performance on the Arabic-Voice dataset, measured by classification 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 | Multivariate Time Series Classification |
| Dataset (including any stated split) | Arabic-Voice |
| 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/multivariate-time-series-classification-on-arabic-voice-accuracy.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ALSTM-FCN | 98.55 | Not recorded | 68fa65ff1e209131cea0dd82 |
| MALSTM-FCN | 98.27 | Not recorded | 68fa65ff1e209131cea0dd82 |
| LSTM-FCN | 98 | Not recorded | 68fa65ff1e209131cea0dd82 |
| MLSTM-FCN | 98 | Not recorded | 68fa65ff1e209131cea0dd82 |
| SOTA \[18\] | 94.55 | Not recorded | 68fa65ff1e209131cea0dd82 |

### ALSTM-FCN

Accuracy: 98.55. Result ID: 698cd7268b517eb4331d19de.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65ff1e209131cea0dd82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64241e209131cea02d56.md>)

[Implementation](<https://github.com/houshd/LSTM-FCN>)

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

### MALSTM-FCN

Accuracy: 98.27. Result ID: 698cd7268b517eb4331d19df.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65ff1e209131cea0dd82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65ff1e209131cea0dd82.md>)

[Implementation](<https://github.com/houshd/MLSTM-FCN>)

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

### LSTM-FCN

Accuracy: 98. Result ID: 698cd7268b517eb4331d19dc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65ff1e209131cea0dd82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64241e209131cea02d56.md>)

[Implementation](<https://github.com/houshd/LSTM-FCN>)

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

### MLSTM-FCN

Accuracy: 98. Result ID: 698cd7268b517eb4331d19dd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65ff1e209131cea0dd82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65ff1e209131cea0dd82.md>)

[Implementation](<https://github.com/houshd/MLSTM-FCN>)

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

### SOTA \[18\]

Accuracy: 94.55. Result ID: 698cd7268b517eb4331d19e0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa65ff1e209131cea0dd82.md>)

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

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