Speech Dereverberation On Deep Noise
Métriques
PESQ
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | PESQ | Paper Title | Repository |
|---|---|---|---|
| Noisy/unprocessed | 1.82 | Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks | - |
| Conv-TasNet-SNR | 2.75 | Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks | - |
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