facebook/voxpopuli
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How to use vineetsharma/speecht5_tts-finetuned-voxpopuli-sk-v1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-speech", model="vineetsharma/speecht5_tts-finetuned-voxpopuli-sk-v1") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("vineetsharma/speecht5_tts-finetuned-voxpopuli-sk-v1")
model = AutoModelForTextToSpectrogram.from_pretrained("vineetsharma/speecht5_tts-finetuned-voxpopuli-sk-v1", device_map="auto")This model is a fine-tuned version of microsoft/speecht5_tts on the facebook/voxpopuli dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6363 | 0.52 | 100 | 0.5600 |
| 0.5576 | 1.05 | 200 | 0.4951 |
| 0.5299 | 1.57 | 300 | 0.4798 |
| 0.5284 | 2.09 | 400 | 0.4755 |
| 0.5266 | 2.62 | 500 | 0.4741 |
Base model
microsoft/speecht5_tts