Spoken Language Understanding On Timers And
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Model Name | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| Finstreder (Quartznet) | 90.0 | Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models | - |
| Baseline | 81.6 | Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers | - |
| Finstreder (Conformer) | 95.4 | Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models | - |
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