Spoken Language Understanding On Snips
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy (%) |
|---|---|
| spoken-language-understanding-on-the-edge | 79.3 |
| spoken-language-understanding-on-the-edge | 84.2 |
| using-speech-synthesis-to-train-end-to-end | 71.4 |
| exploring-transfer-learning-for-end-to-end | 84.9 |
| finstreder-simple-and-fast-spoken-language | 89.0 |
| finstreder-simple-and-fast-spoken-language | 88.0 |
| finstreder-simple-and-fast-spoken-language | 84.8 |