# ttsmms
Text-to-speech with The Massively Multilingual Speech (MMS) project
This project want to help you for use Text-to-speech model from MMS project in Python.
Support 1,107 Languages! (See support_list.txt)
- VITS: [GitHub](https://github.com/jaywalnut310/vits)
- MMS: Scaling Speech Technology to 1000+ languages: [GitHub](https://github.com/facebookresearch/fairseq/tree/main/examples/mms)
[Google colab](https://colab.research.google.com/github/wannaphong/ttsmms/blob/main/notebook/test.ipynb)
**Don't forget the TTS model in MMS project use CC-BY-NC license.**
## Install
> pip install ttsmms
## Usage
First, you need to download the model by
```python
from ttsmms import download
dir_path = download("eng","./data") # lang_code, dir for save model
```
or download file by yourself
**Linux/Mac**
1. download
> curl https://dl.fbaipublicfiles.com/mms/tts/lang_code.tar.gz --output lang_code.tar.gz
2. extract a tar ball archive.
**Linux/Mac**
> mkdir -p data && tar -xzf lang_code.tar.gz -C data/
and use code in python :D
```python
from ttsmms import TTS
tts=TTS(dir_path) # or "model_dir_path" your path dir that extract a tar ball archive
wav=tts.synthesis("txt")
# output:
# {
# "x":array(wav array),
# "sampling_rate": 16000
# }
tts.synthesis("txt",wav_path="example.wav")
# output: example.wav file
```
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