| --- |
| license: cc-by-4.0 |
| language: |
| - fa |
| - ru |
| - en |
| - ja |
| - ar |
|
|
| tags: |
| - persian |
| - english |
| - fa |
| - russian |
| - ru |
| - codec |
| - speech_tokenizer |
| - speechtokenizer |
| - speech |
| - russian |
| --- |
| |
| # Details |
| Dune (doo-neh دونه as I like to call it, or just the english dune) is a fast and compact 12.5hz speech tokenizer trained on tens of thousands of hours of multilingual data. <br> |
|
|
| the encoder is based on nvidia's nano codec architecture that compresses your audio to 22khz FSQ tokens; the decoder, using a different design then reconstructs your input to high quality 44.1khz. |
|
|
| # Batched Extraction / Inference |
|
|
| fill in the path to your data in [dune_extraction.py](https://huggingface.co/Respair/dune_codec/blob/main/dune_extraction.py), then run it. <br><br> |
|
|
| ```bash |
| ~$ python dune_extraction.py |
| ``` |
|
|
| # Important note |
|
|
| this is strictly a speech tokenizer, trained only on human speech; it won't do well with music. |
