LanceaKing/asvspoof2019
Updated โข 283 โข 4
How to use MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("audio-classification", model="MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection") # Load model directly
from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
extractor = AutoFeatureExtractor.from_pretrained("MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection")
model = AutoModelForAudioClassification.from_pretrained("MattyB95/AST-ASVspoof2019-Synthetic-Voice-Detection")This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the audiofolder dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.0 | |||||||
| 2.0 | |||||||
| 3.0 |