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Top 8 Jupyter Notebook text-to-speech Projects
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TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) (by mozilla)
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silero-models
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
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bark
🚀 BARK INFINITY GUI CMD 🎶 Powered Up Bark Text-prompted Generative Audio Model (by JonathanFly)
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tutorials
Git Repo for Articles on Ergo Sum blog and the youtube channel https://www.youtube.com/channel/UCiie9CN--dazA7iT2sry5FA (by rogerfitz)
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intent_based_chatbot
An intent-based chatbot in python with tflearn and TensorFlow. It can be trained for a specific purpose and works well within that specific scope.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Coqui-ai was a commercial continuation of Mozilla TTS and STT (https://github.com/mozilla/TTS).
At the time (2018-ish), it was really impressive for on-device voice synthesis (with a quality approaching the Google and Azure cloud-based voice synthesis options) and open source, so a lot of people in the FOSS community were hoping it could be used for a privacy-respecting home assistant, Linux speech synthesis that doesn't suck, etc.
After Mozilla abandoned the project, Coqui continued development and had some really impressive one-shot voice cloning, but pivoted to marketing speech synthesis for game developers. They were probably having trouble monetizing it, and it doesn't surprise me that they shut down.
An equivalent project that's still in active development and doing really well is Piper TTS (https://github.com/rhasspy/piper).
Project mention: Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning | news.ycombinator.com | 2023-10-02I doubt it's currently actually "the best open source text to speech", but the answer I came up with when throwing a couple of hours at the problem some months ago was "Silero" [0, 1].
Following the "standalone" guide [2], it was pretty trivial to make the model render my sample text in about 100 English "voices" (many of which were similar to each other, and in varying quality). Sampling those, I got about 10 that were pretty "good". And maybe 6 that were the "best ones" (pretty natural, not annoying to listen to).
IIRC the license was free for noncommercial use only. I'm not sure exactly "how open source" they are, but it was simple to install the dependencies and write the basic Python to try it out; I had to write a for loop to try all the voices like I wanted. I ended using something else for the project for other reasons, but this could still be fairly good backup option for some use cases IMO.
[0] https://github.com/snakers4/silero-models#text-to-speech
Project mention: To Bridge the Gap Until the Official Audiobooks Are Released I Tried Making a Myne TTS [P5V5] | /r/HonzukiNoGekokujou | 2023-10-19So I looked around and decided to use Bark Infinity. (Originally wanted to use Amazon Polly, but don't have a credit card) I tried around and found out that the female storyteller voice sounds quite decently. So I used that and a reference clip of Myne's voice as prompt (which I think might have helped a little... I don't get all that program's features) to generate a whole chapter. That worked quite well.
shivammehta25/Matcha-TTS
Jupyter Notebook text-to-speech related posts
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What things are happening in ML that we can't hear oer the din of LLMs?
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Coqui.ai Is Shutting Down
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Any recommendation for human like voice AI model for conversation AI?
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[discussion] text to voice generation for textbooks
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Audio Converter! How to write one in c/c++?
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Text to speech free
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Does anyone know how to set up Mozilla TTS to work with firefox's reader view?
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A note from our sponsor - InfluxDB
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Index
What are some of the best open-source text-to-speech projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | TTS | 8,845 |
2 | silero-models | 4,569 |
3 | bark | 959 |
4 | Matcha-TTS | 389 |
5 | tutorials | 79 |
6 | Multimodal | 8 |
7 | intent_based_chatbot | 5 |
8 | latex2speech | 2 |
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