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Kamtera/persian-tts-female-glow_tts
persian-tts-female-glow_tts is a text-to-speech model from Kamtera. Use it when you need text read aloud. It is set up for TTS.
- persian-tts-female glowtts model for text to speech purposes. - Persian فارسی - Single-speaker female voice - Trained on persian-tts-dataset-famale - GitHub Repo
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.pth344 MB · 100%
From the Hugging Face model README
Install dependencies:
!pip install TTS
!sudo apt-get -y install espeak-ng
Generate audio from text:
!tts --text "زندگی فقط یک بار است؛ از آن به خوبی استفاده کن" \
--model_path "/coqui_training/run-July-31-2022_10+54AM-0000000/checkpoint_24000.pth" \
--config_path "/coqui_training/run-July-31-2022_10+54AM-0000000/config.json" \
--out_path "speech1.wav"
from TTS.config import load_config
from TTS.utils.manage import ModelManager
from TTS.utils.synthesizer import Synthesizer
basepath="/train_output/run-December-24-2022_09+28AM-0000000"
config=basepath+"/config.json"
model=basepath+"/best_model.pth"
model_path =model # Absolute path to the model checkpoint.pth
config_path =config # Absolute path to the model config.json
text=".زندگی فقط یک بار است؛ از آن به خوبی استفاده کن"
synthesizer = Synthesizer(
model_path, config_path
)
wavs = synthesizer.tts(text)
synthesizer.save_wav(wavs, 'sp.wav')
Display audio:
import IPython
IPython.display.Audio('sp.wav')
Use the training code on this repo https://github.com/karim23657/Persian-tts-coqui .
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