Recent submissions

Comment · 2 years ago
Our models support full 2+ mins of coherent generation but generating a couple of verses at a time through continue gives good results you can keep picking the continuations that sound best!
Comment · 2 years ago
We’re US based but come from pretty much across the globe and my wife is Punjabi, so yeah that’s the origin of the name :)
Comment · 3 years ago
yeah sometimes there are definitely artifacts. technically they can be removed pretty easily with another model (like denoiser from FB) but for now we wanted to keep it simple to learn to control these things better through prompt engineering. Like when using a high quality input prompt it generally continues with high quality
Comment · 3 years ago
history is semantic, coarse and fine. so essentially the same thing thats getting generated just using it as an input before the generation
Comment · 3 years ago
thanks, the model itself is a pretty vanilla gpt model based heavily on karpathy's nanogpt, so should not need too many bells and whistles to get it running on specific architectures. that said i have very little experience with platform specific development, so would looove some help from the community :)
Comment · 3 years ago
Hey, one of the Suno founders/creators of Bark here. Thanks for all the comments, we love seeing how we can improve things in the future. At Suno we work on audio foundation models, creating speech, music, sounds effects etc….

Text to speech was a natural playground for us to share with the community and get some feedback. Given that this model is a full GPT model, the text input is merely a guidance and the model can technically create any audio from scratch even without input text, aka hallucinations or audio continuation.

When used as a TTS model, it’s very different from the awesome high quality TTS models already available. It produces a wider range of audio – that could be a high quality studio recording of an actor or the same text leading to two people shouting in an argument at a noisy bar. Excited to see what the community can build and what we can learn for future products.

Please let us know with any feedback, or if you’re interested in working on this: [email protected]

Comment · 3 years ago

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