Hypa-Voices-snac

This repository is the SNAC token companion to hypaai/Hypa-Voices.

Both datasets belong to the Hypa-Voices collection and contain the same 8,800 curated records with identical metadata columns. The only difference is how speech is stored:

Repository	Speech field	Format
hypaai/Hypa-Voices	audio	FLAC (decoded waveform)
hypaai/Hypa-Voices-snac (this repo)	codes_list	SNAC discrete token sequence

For the full dataset description, data fields, applications, licensing, citation, and acknowledgements, see the main README:

hypaai/Hypa-Voices README

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Quick Usage

from datasets import load_dataset

snac_ds = load_dataset("hypaai/Hypa-Voices-snac", split="train")
print(snac_ds[0]["mode"], snac_ds[0]["src_lang"], "->", snac_ds[0]["tgt_lang"])
print("SNAC codes:", len(snac_ds[0]["codes_list"]))

To decode SNAC tokens back to audio, use the SNAC library and the pretrained weights (for example hubertsiuzdak/snac_24khz or the variant used in your pipeline). The hypaai/Hypa-Voices repository already provides the decoded FLAC audio if you prefer to skip decoding.

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Data Fields (this repository)

• codes_list (sequence of int64): SNAC token sequence representing the speech side of the record.
• text, src_lang, tgt_lang, duration_seconds, mode, speaker: Shared with the FLAC companion repository. For translate records, speech is in src_lang and text is in tgt_lang. Speaker values are anonymised IDs (SPK-XXX); contributor names are not published.

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Citation

Please cite the Hypa-Voices collection:

@misc{hypavoices2026,
  title={Hypa-Voices: Multilingual Low-Resource Audio-Text Dataset},
  author={Hypa Intelligence and AfroVoices},
  year={2026},
  howpublished={Hugging Face collection},
  url={https://huggingface.co/collections/hypaai/hypa-voices}
}

And the SNAC codec:

@inproceedings{siuzdak2024snac,
  title={SNAC: Multi-Scale Neural Audio Codec},
  author={Siuzdak, Hubert and Gr{\"o}tschla, Florian and Lanzend{\"o}rfer, Luca A.},
  booktitle={Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound Generation},
  year={2024}
}