Prosody Prediction On Helsinki Prosody Corpus
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| CRF (MarMoT) | 81.8 | Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations | |
| BERT | 83.2 | Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations | |
| SVN (Minitagger) | 80.8 | Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations | |
| BiLSTM | 82.1 | Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations |
0 of 4 row(s) selected.