Text-to-speech with The Massively Multilingual Speech (MMS) project
Project description
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)
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
Linux/Mac
curl https://dl.fbaipublicfiles.com/mms/tts/lang_code.tar.gz --output lang_code.tar.gz
and extract a tar ball archive.
Linux/Mac
mkdir -p data && tar -xzf lang_code.tar.gz -C data/
and use code in python :D
from ttsmms import TTS
tts=TTS("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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file ttsmms-0.5.tar.gz
.
File metadata
- Download URL: ttsmms-0.5.tar.gz
- Upload date:
- Size: 26.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 28550a8e2b7480372a2e31b6648c08c00b38cce1883aead8610573095d060d42 |
|
MD5 | 4269553fe5c831c5627c5311470880a7 |
|
BLAKE2b-256 | 45feaef6850f68c40a3ea83da79b11120c88524261e34520813d3078a49f2087 |
File details
Details for the file ttsmms-0.5-py3-none-any.whl
.
File metadata
- Download URL: ttsmms-0.5-py3-none-any.whl
- Upload date:
- Size: 28.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 94edd3cd2c1ef3d5b4bb89b56468ee89707ed0deef981052c6232628412f7ee9 |
|
MD5 | 96e8417ba0e92c11005b7000eb896312 |
|
BLAKE2b-256 | 2b1815b6b97f6360c6a30301bf814f7094af79d57e21ccd2d7f202141899b4b5 |