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[![pytorch](https://img.shields.io/badge/PyTorch_2.0+-ee4c2c?logo=pytorch&logoColor=white)](https://pytorch.org/get-started/locally/)
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[![lightning](https://img.shields.io/badge/-Lightning_2.0+-792ee5?logo=pytorchlightning&logoColor=white)](https://pytorchlightning.ai/)
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[![hydra](https://img.shields.io/badge/Config-Hydra_1.3-89b8cd)](https://hydra.cc/)
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[![black](https://img.shields.io/badge/Code%20Style-Black-black.svg?labelColor=gray)](https://black.readthedocs.io/en/stable/)
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[![isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
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<p style="text-align: center;">
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<img src="https://shivammehta25.github.io/Matcha-TTS/images/logo.png" height="128"/>
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</p>
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</div>
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# Matcha-TTS for Kyrgyz language
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## Train with Kany Dataset
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The training dataset has 7016 samples and 13 hours of speech. All settings for training have already been made.
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## Process by Terminal
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* **Load this repo and connect to HF**
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```
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git clone https://github.com/simonlobgromov/Matcha-TTS
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cd Matcha-TTS
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pip install -e .
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```
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!!!The environment will be restarted!!!
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Install this:
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```
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apt-get install espeak-ng
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```
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Connect to HF
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```
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git config --global credential.helper store
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huggingface-cli login
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```
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* **Load the Data**
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```
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create-dataset
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# If you see a cat, then everything is fine!
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```
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* **Train**
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```
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python matcha/train.py experiment=akylai
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```
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* **Checkpoints**
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Checkpoints will be saved in `./Matcha-TTS/logs/train/akylai/runs/<DATE>_<TIME>/checkpoints`. Unload them or select the last few checkpoints.
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title: Matcha TTS
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emoji: 🍵
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colorFrom: yellow
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colorTo: green
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sdk: gradio
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sdk_version: 3.44.3
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app_file: app.py
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pinned: false
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license: mit
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