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πŸ”Š Text-Prompted Generative Audio Model

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after using different voices to generate japanese audio,i find that the intonation is good,howerver,i can feel there are noise in it.How can i get cleaner audio file ?

I am trying to use this inside flask project and while testing, it gets stuck on preload_model step, should i manually download it? Any help. Thnx

... so output wav can be easily previewed on various platforms and easily compressed to mp3/webm : - https://github.com/suno-ai/bark/issues/288

from bark import SAMPLE_RATE, generate_audio, preload_models from scipy.io.wavfile import write as write_wav import os os.environ["SUNO_OFFLOAD_CPU"] = 'True' os.environ["SUNO_USE_SMALL_MODELS"] = 'True' preload_models() text_prompt = """ skip """ audio_array = generate_audio(text_prompt) write_wav("w.wav",...

Hey guys!! I am trying use this project with DirectML over windows 11, changing the **`.to(device)`** to **`.to(dml)`** according to [gpu-pytorch-windows Docs](https://learn.microsoft.com/en-us/windows/ai/directml/gpu-pytorch-windows) in the files **`generation.py`** in `bark` folder and...

Seen the older issues on the topic issue#22, Understanding the MPS is experimental are the results below expected performance? Please let me know if not implementing correctly. Happy to refactor...

There are extensions using this for text generation, as you know. It would be very nice to be able to select which GPU to use via the API. Right now...

No GPU being used. Careful, inference might be very slow!

Hello, Would it be possible to add a command line syntax for reading files or direct input? Many thanks.

Hello, I have been playing with bark i saw a few things on example Is there anything on [angry], [shouting], [annoyed] tags ![opera_mCFhQg1xQG](https://github.com/suno-ai/bark/assets/40517592/42234203-e8d6-4ee0-84f9-adf969427a48)