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dac_16khz_8kbps
MingHuiFang/dac_16khz_8kbps
dac_16khz_8kbps is a machine learning model from MingHuiFang. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
For integration into ParlerTTS, you first need to install the Parler-TTS library with (to do once):
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At a glance
- Library
- transformers
- License
- mit
- Model type
- dac
- Access
- Public
- Created
- Aug 18, 2024
- Updated
- Aug 21, 2024
- SHA
- 128f2283
Model card
From the Hugging Face model README
This repository offers 16khzDAC with 9 codebooks and 8kbps bitrate.
For integration into ParlerTTS, you first need to install the Parler-TTS library with (to do once):
pip install git+https://github.com/huggingface/parler-tts.git
Descript Audio Codec (.dac): High-Fidelity Audio Compression with Improved RVQGAN
This repository is a wrapper around the original Descript Audio Codec model, a high fidelity general neural audio codec, introduced in the paper titled High-Fidelity Audio Compression with Improved RVQGAN.
It is designed to be used as a drop-in replacement of the transformers implementation of Encodec, so that architectures that use Encodec can also be trained with DAC instead. The Parler-TTS library is an example of how to use DAC to train high-quality TTS models.
- Library
- transformers
- Type
- dac
- License
- mit
- Created
- Aug 18, 2024
- Updated
- Aug 21, 2024