Mercury-C2-ep1
A full-duplex speech-to-speech model fine-tuned for time-aware conversation.
Released under a codename while the associated paper is under anonymous review.
What this checkpoint is
See the fd-tico ablation series.
Trained for 2 epochs on 4,440 self-generated full-duplex dialogues whose word
timestamps come from forced alignment of the rendered audio (not from the
model's own decision frames).
Reported measurements
Text/audio consistency on 100 held-out dialogues — does the produced audio
actually say what the text-decision stream decided? Both sides come from the
model's own artifacts; no reference transcript is involved.
| this checkpoint | untuned base |
|---|
| character-level consistency (mean / median) | — | 92.6% / 96.2% |
| word-level recall | — | 79.1% |
| severe mismatch (<50%) | — | 6/100 |
| text emission rate | — tok/s | 2.5 tok/s |
Frames are 80 ms (12.5 fps), audio is 24 kHz.
Attribution and licence
Derived from a publicly available full-duplex speech model released under
CC-BY-NC-4.0. This checkpoint inherits that licence: non-commercial use only.
The base model's name and full attribution are withheld only for the duration of
anonymous review and will be added here once the associated paper is
de-anonymised.
Not included
Training code, data, and evaluation scripts are withheld during anonymous review.
