pedalboard VS TTS

spotify/pedalboard: audio effects for Python and TensorFlow

pip install git+https://github.com/spotify/pedalboard.git

I haven't tried it yet, but pedalboard is probably your best bet. DawDreamer also looks interesting ...

I found this really cool and promising library called "Pedalboard" but when I try to install it using PIP I get this error message:

Perhaps Spotify Pedalboard might be of interest

pedalboard – A Python library for manipulating audio

Thanks for the suggestions, everybody! I'm going to try writing a python script using this library: https://github.com/spotify/pedalboard to loop through all files in my sample directory and save the processed outputs to a new folder. Hoping it doesn't melt my poor 2018 Macbook Pro - I'll try running it on a smaller folder at first and see how it goes.

Do you want to run the effect online or offline? You can do it offline with: https://github.com/spotify/pedalboard

I think you could do it with this https://github.com/spotify/pedalboard

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