Home Projects parrots
parrots
Python

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

by shibing624 · GitHub
Stars
Forks
License
Created
Last commit
Language
chinese-speech-recognitionchinese-speech-synthesisparrotApache-2.0Python
View on GitHub
In plain words

Convert spoken language into text and generate speech from text in multiple languages with high accuracy.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
parrots — GitHub preview card
📈 Star history
526525
2026-07-202026-08-31
📈 Track parrots

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

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

parrots has 525 stars on GitHub. It has been forked 93 times. parrots is written mainly in Python. It has been in active development since 2018. parrots is available under the Apache-2.0 license. Its main topics are chinese-speech-recognition, chinese-speech-synthesis, parrot, pinyin2hanzi.

Frequently asked questions

What is 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

Is parrots open source?

parrots is an open-source project. It is released under the Apache-2.0 license.

Is parrots free?

Yes. parrots is free and open source — you can use, modify and self-host it.

What license does parrots use?

parrots is available under the Apache-2.0 license.

What language is parrots written in?

parrots is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — parrots

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=shibing624-parrots)](https://olud.ai/project/shibing624-parrots.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.