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https://github.com/shibing624/parrots
Automatic Speech Recognition(ASR), Text-To-Speech(TTS) engine. 中英语音识别、多角色语音合成,支持多语言,准确率高
https://github.com/shibing624/parrots
chinese-speech-recognition chinese-speech-synthesis parrot pinyin2hanzi speech-recognition text-to-speech-python3 tts
Last synced: 15 days ago
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Automatic Speech Recognition(ASR), Text-To-Speech(TTS) engine. 中英语音识别、多角色语音合成,支持多语言,准确率高
- Host: GitHub
- URL: https://github.com/shibing624/parrots
- Owner: shibing624
- License: apache-2.0
- Created: 2018-08-26T09:12:09.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2024-03-10T09:11:12.000Z (8 months ago)
- Last Synced: 2024-10-22T16:41:28.129Z (22 days ago)
- Topics: chinese-speech-recognition, chinese-speech-synthesis, parrot, pinyin2hanzi, speech-recognition, text-to-speech-python3, tts
- Language: Python
- Homepage:
- Size: 12.2 MB
- Stars: 465
- Watchers: 12
- Forks: 84
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[**🇨🇳中文**](https://github.com/shibing624/parrots/blob/master/README.md) | [**🌐English**](https://github.com/shibing624/parrots/blob/master/README_EN.md) | [**📖文档/Docs**](https://github.com/shibing624/parrots/wiki) | [**🤖模型/Models**](https://huggingface.co/shibing624)
-----------------
# Parrots: ASR and TTS toolkit
[![PyPI version](https://badge.fury.io/py/parrots.svg)](https://badge.fury.io/py/parrots)
[![Downloads](https://static.pepy.tech/badge/parrots)](https://pepy.tech/project/parrots)
[![Contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)](CONTRIBUTING.md)
[![GitHub contributors](https://img.shields.io/github/contributors/shibing624/parrots.svg)](https://github.com/shibing624/parrots/graphs/contributors)
[![License Apache 2.0](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)
[![python_vesion](https://img.shields.io/badge/Python-3.7%2B-green.svg)](requirements.txt)
[![GitHub issues](https://img.shields.io/github/issues/shibing624/parrots.svg)](https://github.com/shibing624/parrots/issues)
[![Wechat Group](https://img.shields.io/badge/wechat-group-green.svg?logo=wechat)](#Contact)## Introduction
Parrots, Automatic Speech Recognition(**ASR**), Text-To-Speech(**TTS**) toolkit, support Chinese, English, Japanese, etc.**parrots**实现了语音识别和语音合成模型一键调用,开箱即用,支持中英文。
## Features
1. ASR:基于`distilwhisper`实现的中文语音识别(ASR)模型,支持中、英等多种语言
2. TTS:基于`GPT-SoVITS`训练的语音合成(TTS)模型,支持中、英、日等多种语言## Install
```shell
pip install torch # or conda install pytorch
pip install -r requirements.txt
pip install parrots
```
or
```shell
pip install torch # or conda install pytorch
git clone https://github.com/shibing624/parrots.git
cd parrots
python setup.py install
```## Demo
- Offical Demo: https://www.mulanai.com/product/tts/
- HuggingFace Demo: https://huggingface.co/spaces/shibing624/parrotsrun example: [examples/tts_gradio_demo.py](https://github.com/shibing624/parrots/blob/master/examples/tts_gradio_demo.py) to see the demo:
```shell
python examples/tts_gradio_demo.py
```## Usage
### ASR(Speech Recognition)
example: [examples/demo_asr.py](https://github.com/shibing624/parrots/blob/master/examples/demo_asr.py)
```python
import os
import syssys.path.append('..')
from parrots import SpeechRecognitionpwd_path = os.path.abspath(os.path.dirname(__file__))
if __name__ == '__main__':
m = SpeechRecognition()
r = m.recognize_speech_from_file(os.path.join(pwd_path, 'tushuguan.wav'))
print('[提示] 语音识别结果:', r)```
output:
```
{'text': '北京图书馆'}
```### TTS(Speech Synthesis)
example: [examples/demo_tts.py](https://github.com/shibing624/parrots/blob/master/examples/demo_tts.py)
```python
import sys
sys.path.append('..')
import parrots
from parrots import TextToSpeech
parrots_path = parrots.__path__[0]
sys.path.append(parrots_path)m = TextToSpeech(
speaker_model_path="shibing624/parrots-gpt-sovits-speaker-maimai",
speaker_name="MaiMai",
)
m.predict(
text="你好,欢迎来北京。welcome to the city.",
text_language="auto",
output_path="output_audio.wav"
)
```output:
```
Save audio to output_audio.wav
```### 命令行模式(CLI)
支持通过命令行方式执行ARS和TTS任务,代码:[cli.py](https://github.com/shibing624/parrots/blob/master/parrots/cli.py)
```
> parrots -hNAME
parrotsSYNOPSIS
parrots COMMANDCOMMANDS
COMMAND is one of the following:asr
Entry point of asr, recognize speech from filetts
Entry point of tts, generate speech audio from text```
run:
```shell
pip install parrots -U
# asr example
parrots asr -h
parrots asr examples/tushuguan.wav# tts example
parrots tts -h
parrots tts "你好,欢迎来北京。welcome to the city." output_audio.wav
```- `asr`、`tts`是二级命令,asr是语音识别,tts是语音合成,默认使用的模型是中文模型
- 各二级命令使用方法见`parrots asr -h`
- 上面示例中`examples/tushuguan.wav`是`asr`方法的`audio_file_path`参数,输入的音频文件(required)## Release Models
### ASR
- [BELLE-2/Belle-distilwhisper-large-v2-zh](https://huggingface.co/BELLE-2/Belle-distilwhisper-large-v2-zh)
### TTS- [shibing624/parrots-gpt-sovits-speaker](https://huggingface.co/shibing624/parrots-gpt-sovits-speaker)
| speaker name | 说话人名 | character | 角色特点 | language | 语言 |
|--|--|--|--|--|--|
| KuileBlanc | 葵·勒布朗 | lady | 标准美式女声 | en | 英 |
| LongShouRen | 龙守仁 | gentleman | 标准美式男声 | en | 英 |
| MaiMai | 卖卖| singing female anchor | 唱歌女主播声 | zh | 中 |
| XingTong | 星瞳 | singing ai girl | 活泼女声 | zh | 中 |
| XuanShen | 炫神 | game male anchor | 游戏男主播声 | zh | 中 |
| KusanagiNene | 草薙寧々 | loli | 萝莉女学生声 | ja | 日 |- [shibing624/parrots-gpt-sovits-speaker-maimai](https://huggingface.co/shibing624/parrots-gpt-sovits-speaker-maimai)
| speaker name | 说话人名 | character | 角色特点 | language | 语言 |
|--|--|--|--|--|--|
| MaiMai | 卖卖| singing female anchor | 唱歌女主播声 | zh | 中 |## Contact
- Issue(建议):[![GitHub issues](https://img.shields.io/github/issues/shibing624/parrots.svg)](https://github.com/shibing624/parrots/issues)
- 邮件我:xuming: [email protected]
- 微信我:加我*微信号:xuming624*, 进Python-NLP交流群,备注:*姓名-公司名-NLP*## Citation
如果你在研究中使用了parrots,请按如下格式引用:
```latex
@misc{parrots,
title={parrots: ASR and TTS Tool},
author={Ming Xu},
year={2024},
howpublished={\url{https://github.com/shibing624/parrots}},
}
```## License
授权协议为 [The Apache License 2.0](/LICENSE),可免费用做商业用途。请在产品说明中附加parrots的链接和授权协议。
## Contribute
项目代码还很粗糙,如果大家对代码有所改进,欢迎提交回本项目,在提交之前,注意以下两点:- 在`tests`添加相应的单元测试
- 使用`python -m pytest`来运行所有单元测试,确保所有单测都是通过的之后即可提交PR。
## Reference
#### ASR(Speech Recognition)
- [EAT: Enhanced ASR-TTS for Self-supervised Speech Recognition](https://arxiv.org/abs/2104.07474)
- [PaddlePaddle/PaddleSpeech](https://github.com/PaddlePaddle/PaddleSpeech)
- [NVIDIA/NeMo](https://github.com/NVIDIA/NeMo)
#### TTS(Speech Synthesis)
- [coqui-ai/TTS](https://github.com/coqui-ai/TTS)
- [keonlee9420/Expressive-FastSpeech2](https://github.com/keonlee9420/Expressive-FastSpeech2)
- [TensorSpeech/TensorflowTTS](https://github.com/TensorSpeech/TensorflowTTS)
- [RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS)