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--- |
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library_name: transformers |
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tags: |
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- DAC |
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- Audio |
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license: mit |
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--- |
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# This repository offers 16khzDAC with 9 codebooks and 8kbps bitrate. |
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For integration into ParlerTTS, you first need to install the [Parler-TTS library](https://github.com/huggingface/parler-tts) with (to do once): |
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```sh |
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pip install git+https://github.com/huggingface/parler-tts.git |
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``` |
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# Descript Audio Codec (.dac): High-Fidelity Audio Compression with Improved RVQGAN |
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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**. |
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It is designed to be used as a drop-in replacement of the [transformers implementation](https://huggingface.co/docs/transformers/v4.39.3/en/model_doc/encodec#overview) of [Encodec](https://github.com/facebookresearch/encodec), so that architectures that use Encodec can also be trained with DAC instead. |
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The [Parler-TTS library](https://github.com/huggingface/parler-tts) is an example of how to use DAC to train high-quality TTS models. |
