Home Projects Speech-and-Text
Speech-and-Text
Python

Speech-and-Text

Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字(PocketSphinx、百度 API、科大讯飞 API)和文字转语音(pyttsx3)

by Renovamen · GitHub
Stars
Forks
Created
Last commit
Language
speech-recognitionspeech-to-texttext-to-speechPython
View on GitHub
In plain words

Convert spoken words into text and vice versa using various speech recognition and text-to-speech tools.

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 →
Speech-and-Text — GitHub preview card
📈 Star history
343342
2026-07-202026-08-31
📈 Track Speech-and-Text

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

Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字(PocketSphinx、百度 API、科大讯飞 API)和文字转语音(pyttsx3)

Speech-and-Text has 342 stars on GitHub. It has been forked 77 times. Speech-and-Text is written mainly in Python. It has been in active development since 2019. Its main topics are speech-recognition, speech-to-text, text-to-speech.

Frequently asked questions

What is Speech-and-Text?

Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字(PocketSphinx、百度 API、科大讯飞 API)和文字转语音(pyttsx3)

Is Speech-and-Text open source?

Speech-and-Text is an open-source project.

Is Speech-and-Text free?

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

What language is Speech-and-Text written in?

Speech-and-Text is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — Speech-and-Text

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

[![olud.ai](https://olud.ai/badge.php?tool=renovamen-speech-and-text)](https://olud.ai/project/renovamen-speech-and-text.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.