bark
bark
bark | bark | |
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67 | 9 | |
32,784 | 959 | |
3.8% | - | |
5.4 | 8.7 | |
7 days ago | 7 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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bark
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Exploring Bark, the Open Source Text-to-Speech Model
!pip install git+https://github.com/suno-ai/bark.git
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AI-generated sad girl with piano performs the text of the MIT License
To my knowledge, the model being used for this is "chirp" which is 'based on' bark[1], an AI text to speech model.
The github page for bark links to a page about chirp, which returns a 404 page for me [2]. that the model for suno.ai's song generator isn't too much different than the text to speech model.
My hunch is that it was something like a coincidence that the bark model was capable of producing music, and that was spun off into this product. Unfortunately, there seems to still be issues with bark when generating long (like book length) spoken audio. Which is too bad, as someone who's worked jobs that require lots of driving, it would be awesome to be able to have any text read to me in a natural sounding voice.
[1]https://github.com/suno-ai/bark
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Generating music in the waveform domain (2020)
Stable-audio and MusicGen sounds better than Jukebox.
But the best so far is Suno.ai ( https://app.suno.ai ) especially with their V3 model they have very impressive results, the fidelity is not studio quality but they're getting very close.
It's very likely based on their TTS model they have released before Bark, but trained on more data and with higher resolution.
https://github.com/suno-ai/bark
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Stable-Audio-Demo
https://github.com/suno-ai/bark
> Bark was developed for research purposes. It is not a conventional text-to-speech model but instead a fully generative text-to-audio model, which can deviate in unexpected ways from provided prompts. Suno does not take responsibility for any output generated. Use at your own risk, and please act responsibly.
I've generated probably >200 songs now with Suno, of which perhaps 10 have been any good, and I can't detect any pattern in terms of the outputs.
Here's another one which is pretty good. I accidentally copied and pasted the prompt and lyrics, and it's amazing to me how 'musically' it renders the prompt:
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Suno AI
hahah wow! cool :-)
PS: OT, I am reading this Bark thing(https://github.com/suno-ai/bark). Can I run it locally on a Macbook 2015 with 8GB RAM?
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SDXL + SVD + Suno AI
I have it locally. The model is on huggingface. It runs with about 8GB VRAM.
- [discussion] text to voice generation for textbooks
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Open Source Libraries
suno-ai/bark
- Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning
- FLaNK Stack Weekly 2 October 2023
bark
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To Bridge the Gap Until the Official Audiobooks Are Released I Tried Making a Myne TTS [P5V5]
So 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.
- Free/Affordable Text to Speech AI?
- Local and open-source equivalent to HeyGen Text-to-Speech (TTS) AI?
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Whispers of Frostcliff Lodge
AI-generated voice. I'll have to try Bark Infinity and Speechify.
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Bark: A transformer based text to audio system
I'll link my Bark fork with long audio generation and other features on the root thread, I suppose: https://github.com/JonathanFly/bark
There's going to be a big update this week with some new stuff I haven't talked about. And a bunch of amazing, clear voices, with a huge variety of styles, that blow the default Suno voices out of the water.
Don't get too attached though. I was just playing around and made a Bark fork and it got more popular than expected. But I wasn't thinking about the hours of unpaid support and maintenance in my future that I definitely can NOT afford, for software I don't even really have a personal use case for. I'm not generating my own audiobooks or anything, I won’t be using it long term myself, I was just curious what Bark could do. (Turns out a LOT more than you might think at first glance, as you'll see this week.) So I'm trying to work out how I can elegantly wind this down and transition people somewhere else. But I'll keep it updated for at least a little while.
- Converting a Subreddit into a Podcast with GPT-4
- Ask a Text-To-Speech AI (Bark) to say "Why was six afraid of seven?" but ignore the "I'm done" token and force it to just keep talking.
- [R] 🐶 Bark - Text2Speech...But with Custom Voice Cloning using your own audio/text samples 🎙️📝
What are some alternatives?
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
encodec - State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
SadTalker - [CVPR 2023] SadTalker:Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
bark-with-voice-clone - 🔊 Text-prompted Generative Audio Model - With the ability to clone voices
Retrieval-based-Voice-Conversion-WebUI - Easily train a good VC model with voice data <= 10 mins!
crowdcast - Converts a subreddit into a podcast
whisper.cpp - Port of OpenAI's Whisper model in C/C++
audiolm-pytorch - Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple