My first TTS
Example Code
import torch
from transformers import VitsTokenizer, VitsModel, set_seed
import scipy.io.wavfile
device = "cuda" if torch.cuda.is_available() else "cpu"
model = VitsModel.from_pretrained("meguscx/VITS-TH-Model").to(device)
tokenizer = VitsTokenizer.from_pretrained("meguscx/VITS-TH-Model")
text = "การเรียนรู้ภาษาใหม่ช่วยเปิดโลกทัศน์ให้กว้างขึ้น"
inputs = tokenizer(text=text, return_tensors="pt").to(device)
set_seed(456)
with torch.no_grad():
outputs = model(**inputs)
waveform = outputs.waveform[0].cpu().numpy()
scipy.io.wavfile.write(
"test.wav",
rate=model.config.sampling_rate,
data=waveform
)
print("Saved successfully.")
this model train 6 hr with only 1094 voice data (single speaker)
so voice maybe not too good and sometimes sound weird or unnatural
because dataset is small ;-;
Sample Audio
- Downloads last month
- 99
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support