Transformer-TTS
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Convert written text into spoken words using a fast and efficient AI model.
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 anytimeA Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Transformer-TTS has 690 stars on GitHub. It has been forked 139 times. Transformer-TTS is written mainly in Python. It has been in active development since 2019. Transformer-TTS is available under the MIT license. Its main topics are attention-mechanism, attention-plots, deep-learning, pytorch.
What is Transformer-TTS?
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
Is Transformer-TTS open source?
Transformer-TTS is an open-source project. It is released under the MIT license.
Is Transformer-TTS free?
Yes. Transformer-TTS is free and open source — you can use, modify and self-host it.
What license does Transformer-TTS use?
Transformer-TTS is available under the MIT license.
What language is Transformer-TTS written in?
Transformer-TTS is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/soobinseo-transformer-tts.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.