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Bark Alternatives
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textgen
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Kargo
Kargo - optimize your multi-stage deployment pipelines using GitOps. Kargo automates promotion across dev, staging, and prod with approval gates and verification. Open source, built by the team behind Argo CD. Download now.
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pyannote-audio
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encodec
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
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bark
🚀 BARK INFINITY GUI CMD 🎶 Powered Up Bark Text-prompted Generative Audio Model (by JonathanFly)
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xVA-Synth
Machine learning based speech synthesis Electron app, with voices from specific characters from video games
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
bark discussion
bark reviews and mentions
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Four free neural TTS options for CI pipelines — edge-tts, Kokoro, MeloTTS, Bark
GitHub: suno-ai/bark | License: MIT | Size: ~1.7GB (small), ~8GB (large)
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Microsoft VibeVoice: A Frontier Open-Source Text-to-Speech Model
I know bark does to a degree, I'm not very familiar with the tts landscape, but there may be others.
https://github.com/suno-ai/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
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A note from our sponsor - Kargo
akuity.io | 16 Sep 2026
Stats
suno-ai/bark is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of bark is Jupyter Notebook.