Home Projects VoiceFlow-TTS
VoiceFlow-TTS
Python

VoiceFlow-TTS

[ICASSP 2024] This is the official code for "VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching"

by X-LANCE · GitHub
Stars
Forks
Created
Last commit
Language
conditional-flow-matchinggenerative-modelsprobabilistic-modelsPython
View on GitHub
In plain words

Generate speech from text efficiently using the VoiceFlow text-to-speech model.

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 →
VoiceFlow-TTS — GitHub preview card
📈 Star history
376375
2026-07-202026-08-31
📈 Track VoiceFlow-TTS

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

[ICASSP 2024] This is the official code for "VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching"

VoiceFlow-TTS has 375 stars on GitHub. It has been forked 23 times. VoiceFlow-TTS is written mainly in Python. It has been in active development since 2023. Its main topics are conditional-flow-matching, generative-models, probabilistic-models, rectified-flow-matching.

Frequently asked questions

What is VoiceFlow-TTS?

[ICASSP 2024] This is the official code for "VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching"

Is VoiceFlow-TTS open source?

VoiceFlow-TTS is an open-source project.

Is VoiceFlow-TTS free?

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

What language is VoiceFlow-TTS written in?

VoiceFlow-TTS is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — VoiceFlow-TTS

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

[![olud.ai](https://olud.ai/badge.php?tool=x-lance-voiceflow-tts)](https://olud.ai/project/x-lance-voiceflow-tts.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.