fast-wavenet
Speedy Wavenet generation using dynamic programming :zap:
Generate audio quickly using an optimized version of the Wavenet algorithm that speeds up the process.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeSpeedy Wavenet generation using dynamic programming :zap:
fast-wavenet has 1.8k stars on GitHub. It has been forked 303 times. fast-wavenet is written mainly in Python. It has been in active development since 2016. fast-wavenet is available under the GPL-3.0 license. Its main topics are deep-learning, machine-learning, tensorflow, wavenet.
What is fast-wavenet?
Speedy Wavenet generation using dynamic programming :zap:
Is fast-wavenet open source?
fast-wavenet is an open-source project. It is released under the GPL-3.0 license.
Is fast-wavenet free?
Yes. fast-wavenet is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does fast-wavenet use?
fast-wavenet is available under the GPL-3.0 license.
What language is fast-wavenet written in?
fast-wavenet is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/tomlepaine-fast-wavenet.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.