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descript-mlx

Descript Audio Codec - MLX

pipPyPI
Version
0.0.2
Maintainers
1

Descript Audio Codec — MLX

Implementation of the Descript Audio Codec, with the MLX framework.

Descript can compress 44kHz audio into discrete codes at 8kbps and produces high quality reconstructions at a 90:1 compression ratio compared to the raw audio.

This repository is based on the original Pytorch implementation available here.

Installation

pip install descript-mlx

Usage

You can load a pretrained model from Python like this:

import mlx.core as mx

from descript_mlx import DAC

dac = DAC.from_pretrained("44khz") # or "24khz" / "16khz"
audio = mx.array(...)

# encode into latents and codes
z, codes, latents, commitment_loss, codebook_loss = dac.encode(audio)

# reconstruct from latents/codes to audio
reconstucted_audio = dac.decode(z)

# compress audio to a DAC file
dac_file = dac.compress(audio)
dac_file.save("/path/to/file.dac")

# decompress audio from a DAC file
reconstructed_audio = dac.decompress("/path/to/file.dac")

Citations

@misc{kumar2023highfidelityaudiocompressionimproved,
      title={High-Fidelity Audio Compression with Improved RVQGAN}, 
      author={Rithesh Kumar and Prem Seetharaman and Alejandro Luebs and Ishaan Kumar and Kundan Kumar},
      year={2023},
      eprint={2306.06546},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2306.06546}, 
}

License

The code in this repository is released under the MIT license as found in the LICENSE file.

Keywords

artificial intelligence

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