|
---
|
|
license: mit
|
|
language:
|
|
- ko
|
|
pipeline_tag: text-to-speech
|
|
---
|
|
|
|
# MeloTTS
|
|
|
|
MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include:
|
|
|
|
|
|
| Model card | Example |
|
|
| --- | --- |
|
|
| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (American) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) |
|
|
| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (British) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) |
|
|
| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Indian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) |
|
|
| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Australian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) |
|
|
| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Default) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) |
|
|
| [Spanish](https://huggingface.co/myshell-ai/MeloTTS-Spanish) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) |
|
|
| [French](https://huggingface.co/myshell-ai/MeloTTS-French) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) |
|
|
| [Chinese](https://huggingface.co/myshell-ai/MeloTTS-Chinese) (mix EN) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) |
|
|
| [Japanese](https://huggingface.co/myshell-ai/MeloTTS-Japanese) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) |
|
|
| [Korean](https://huggingface.co/myshell-ai/MeloTTS-Korean/) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/kr/KR/speed_1.0/sent_000.wav) |
|
|
|
|
Some other features include:
|
|
- The Chinese speaker supports `mixed Chinese and English`.
|
|
- Fast enough for `CPU real-time inference`.
|
|
|
|
|
|
## Usage
|
|
|
|
### Without Installation
|
|
|
|
An unofficial [live demo](https://huggingface.co/spaces/mrfakename/MeloTTS) is hosted on Hugging Face Spaces.
|
|
|
|
#### Use it on MyShell
|
|
|
|
There are hundreds of TTS models on MyShell, much more than MeloTTS. See examples [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/quick_use.md#use-melotts-without-installation).
|
|
More can be found at the widget center of [MyShell.ai](https://app.myshell.ai/robot-workshop).
|
|
|
|
### Install and Use Locally
|
|
|
|
Follow the installation steps [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#linux-and-macos-install) before using the following snippet:
|
|
|
|
```python
|
|
from melo.api import TTS
|
|
|
|
# Speed is adjustable
|
|
speed = 1.0
|
|
|
|
# CPU is sufficient for real-time inference.
|
|
# You can set it manually to 'cpu' or 'cuda' or 'cuda:0' or 'mps'
|
|
device = 'auto' # Will automatically use GPU if available
|
|
|
|
# English
|
|
text = "Did you ever hear a folk tale about a giant turtle?"
|
|
model = TTS(language='EN', device=device)
|
|
speaker_ids = model.hps.data.spk2id
|
|
|
|
# American accent
|
|
output_path = 'en-us.wav'
|
|
model.tts_to_file(text, speaker_ids['EN-US'], output_path, speed=speed)
|
|
|
|
# British accent
|
|
output_path = 'en-br.wav'
|
|
model.tts_to_file(text, speaker_ids['EN-BR'], output_path, speed=speed)
|
|
|
|
# Indian accent
|
|
output_path = 'en-india.wav'
|
|
model.tts_to_file(text, speaker_ids['EN_INDIA'], output_path, speed=speed)
|
|
|
|
# Australian accent
|
|
output_path = 'en-au.wav'
|
|
model.tts_to_file(text, speaker_ids['EN-AU'], output_path, speed=speed)
|
|
|
|
# Default accent
|
|
output_path = 'en-default.wav'
|
|
model.tts_to_file(text, speaker_ids['EN-Default'], output_path, speed=speed)
|
|
|
|
```
|
|
|
|
|
|
## Join the Community
|
|
|
|
**Open Source AI Grant**
|
|
|
|
We are actively sponsoring open-source AI projects. The sponsorship includes GPU resources, fundings and intellectual support (collaboration with top research labs). We welcome both reseach and engineering projects, as long as the open-source community needs them. Please contact [Zengyi Qin](https://www.qinzy.tech/) if you are interested.
|
|
|
|
**Contributing**
|
|
|
|
If you find this work useful, please consider contributing to the GitHub [repo](https://github.com/myshell-ai/MeloTTS).
|
|
|
|
- Many thanks to [@fakerybakery](https://github.com/fakerybakery) for adding the Web UI and CLI part.
|
|
|
|
## License
|
|
|
|
This library is under MIT License, which means it is free for both commercial and non-commercial use.
|
|
|
|
## Acknowledgements
|
|
|
|
This implementation is based on [TTS](https://github.com/coqui-ai/TTS), [VITS](https://github.com/jaywalnut310/vits), [VITS2](https://github.com/daniilrobnikov/vits2) and [Bert-VITS2](https://github.com/fishaudio/Bert-VITS2). We appreciate their awesome work.
|
|
|
|
|
