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- <div align="center">
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- # 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
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-
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- ### [Shivam Mehta](https://www.kth.se/profile/smehta), [Ruibo Tu](https://www.kth.se/profile/ruibo), [Jonas Beskow](https://www.kth.se/profile/beskow), [Éva Székely](https://www.kth.se/profile/szekely), and [Gustav Eje Henter](https://people.kth.se/~ghe/)
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- [![python](https://img.shields.io/badge/-Python_3.10-blue?logo=python&logoColor=white)](https://www.python.org/downloads/release/python-3100/)
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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