Intent Classification On Slurp
评估指标
Accuracy (%)
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| TDT 0-8 | 90.07 | Efficient Sequence Transduction by Jointly Predicting Tokens and Durations | |
| Multi-SLURP | 78.33 | SLURP: A Spoken Language Understanding Resource Package | |
| Finstreder (Quartznet) | 43.15 | Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models | |
| Finstreder (Conformer) | 53.11 | Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models | |
| Partially Fine-tuned HuBERT | 87.51 | A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding | - |
0 of 5 row(s) selected.