mimic3 VS TTS

I'd like to take advantage of high quality TTS models but I'd prefer it to be one I may host myself.

Haven't found the right way yet, I'm considering: https://github.com/MycroftAI/mimic3

Fast or good, choose one

Mozilla's TTS is a python package installable with pip and uses cpu or gpu resources to render a choice of voices, they mostly sound natural and this is the good. https://github.com/mozilla/TTS

Mycroft's mimic3 is the default voice renderer for the Mycroft project that runs on pi hardware and sounds ok-ish, that is the fast. https://github.com/MycroftAI/mimic3

There are many others but these are the two I use according to if it needs to run on limited hardware or if the cycles fall freely from the sky.

It took quite a bit of digging to find the repo link https://github.com/MycroftAI/mimic3#readme and it's AGPL-3 for those interested in such things

Recently seeing this testing mailserver linked on HN: https://tweedegolf.nl/en/blog/86/introducing-mailcrab

I was reminded of another useful tool, mimic3 by MycroftAI that gives you very nice TTS: https://github.com/MycroftAI/mimic3

So I was wondering: what other useful apps have been containerized for easy setup and great usefulness?

Basically the point of this question is to let people share these, for the benefit of all.

You could also try the successor but they didn't get around implementing the harvard voice yet and we don't like any of the voices that come with it.

https://github.com/MycroftAI/mimic3 this? it can be easily hosted on docker as well

I just noticed that https://coqui.ai/ is "Shutting down".

I'm building a web app (React / Django) which takes a list of affirmations & goals (in Markdown files), puts them into a database (SQlite), and uses voice synthesis to create voice audio files of the phrases. These are combined with a relaxed backing track (ffmpeg), made into playlists of 10-20 phrases (randomly sampled, or according to a theme: "mind" "body" "soul") and then play automatically in the morning & evening (cron). This allows you to persistently hear & vocalize your own goals & good vibes over time.

I had been planning to use Coqui TTS as the local text-to-speech engine, but with this cancellation, I'd love to hear from the community what is a great open-source, local text-to-speech engine?

Generally, I learn both the highest quality commercially available technology (example: ElevenLabs), and also the best open-source equivalent. Would love to hear suggestions & perspectives on this. What voice synth tools are you investing your time into learning & building with?

lol this marketing technique is getting very old. https://github.com/coqui-ai/TTS is already amazing and open source.

Not sure how relevant this is but note that Coqui TTS (the realistic TTS) has already shut down

https://coqui.ai

I've used coqui.ai's TTS models[0] and library[1] to great success. I was able to get cloned voice to be rendered in about 80% of the audio clip length, and I believe you can also stream the response. Do note the model license for XTTS, it is one they wrote themselves that has some restrictions.

[0] https://huggingface.co/coqui/XTTS-v2

[1] https://github.com/coqui-ai/TTS

My only exposure to Coqui was their text to speech software. If I remember correctly the website was a commercialized service with TTS and probably some other related things. I hope the software work continues in the open.

https://github.com/coqui-ai/TTS

Coqui.ai TTS (https://github.com/coqui-ai/TTS)

"tts_models/multilingual/multi-dataset/xtts_v2" model from https://github.com/coqui-ai/TTS. It gives pretty good results and works with references, so it's pretty easy to change the voice. By the way the source code of the project is open: https://github.com/volotat/Anagnorisis but be ready, the code is pretty raw for now.

A recent update to their GitHub also has a no-code gradio ui to facilitate fine-tuning and inferencing locally. https://github.com/coqui-ai/TTS/releases/tag/v0.21.3