dir2cast VS TTS

Git clone dir2cast into your server git clone https://github.com/ben-xo/dir2cast.git && cd dir2cast

I'm trying to use dir2cast on z-wamp on windows 10, but whenever I load up localhost/dir2cast.php I get an error:

Podcast Generators - https://github.com/ben-xo/dir2cast/ - creates podcast RSS from a folder of audio files (looks perfect!) - https://github.com/lpar/podcaster - creates podcast RSS from a folder of audio files - https://github.com/williamjacksn/podcast-tools - creates podcast RSS from a folder of audio files - https://podcastgenerator.net/ - builds a full podcast, with apple stuff etc, from a folder of audio files - https://www.mudeth.org/post/podhoarder - https://github.com/williamjacksn/podcast-tools - https://github.com/elwinschmitz/bookcasts - turns audiobooks into podcasts

I currently have it turned off while I search for better sources, but I have a VM that runs a custom cron script that combines a custom RSS reader, podfox, mercury-parser, and coqui-ai to generate audio podcasts from RSS news feeds. I should probably clean it up and release the script/setup process. With a few tweaks and some AI text-to-speech and a little machine learning audio processing you can get a really good podcast experience from text posts.

Dir2Cast supports mp4s: https://github.com/ben-xo/dir2cast

https://github.com/ben-xo/dir2cast/ - creates podcast RSS from a folder of audio files (looks perfect!)

git clone https://github.com/ben-xo/dir2cast.git nginx_data

I was checking out dir2cast to create podcast rss feeds out of directories of mp3 files, but unfortunately it doesn't seem to have a docker setup to pull and use.

Give dir2cast a try -- worked for me for your exact use case.

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