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| Group | Band | Codebooks |
|---|---|---|
| 0 | Bass (~0–1 kHz) | 3 |
| 1 | Low-mid (~1–4 kHz) | 2 |
| 2 | High-mid (~4–10 kHz) | 2 |
| 3 | Treble (~10–22 kHz) | 2 |
| Groups | Codebooks | Approx. bitrate |
|---|---|---|
| 1 | 3 | ~2.6 kbps |
| 2 | 5 | ~4.3 kbps |
| 3 | 7 | ~6.0 kbps |
| 4 | 9 | ~7.7 kbps (full) |
harp.ckpt — slim, inference-ready weights (~293 MB, weights only).uv sync),
download this checkpoint, and reconstruct audio:1uv pip install "huggingface_hub[cli]"
2hf download KelvinYang/harp-codec harp.ckpt --local-dir checkpoints
3
4python entry.py -i --input audio.wav --output recon.wav # full rate
5python entry.py -i --input audio.wav --n-groups 2 --output out.wav # lower bitrate (1..4)1@inproceedings{harp2026,
2 title = {HARP: Harmonic-Aware Residual Partitioning for Neural Audio Codecs},
3 author = {Yang, Qiaoyu and He, Lixing and Deng, Binyue and Zhao, Weifeng},
4 booktitle = {Interspeech},
5 year = {2026}
6}