Datasets:
Add M1 submission
#3
by mbocanu - opened
- submissions/m1.yaml +40 -0
submissions/m1.yaml
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
schema_version: 4
|
| 2 |
+
system:
|
| 3 |
+
name: M1
|
| 4 |
+
slug: m1
|
| 5 |
+
description: 'M1, a voice deepfake detector (proprietary; weights not released; no paper). To keep the comparison fair,
|
| 6 |
+
we screened our training data against every Arena test set and removed every Arena test clip, and every other copy of
|
| 7 |
+
the same recording, from training (matched by source utterance). Where a set''s recording map was not available (ASVspoof
|
| 8 |
+
2021 LA and DF), we removed every recording of its evaluation speakers instead. We scored two training lengths of the
|
| 9 |
+
same model, and we submit the one that our own validation set preferred. Scoring: one window per clip from its first sample
|
| 10 |
+
(0.2–4.2 s for clips of 4.4 s or more, 0.2–2.2 s for 2.4–4.4 s, the whole clip if shorter; no padding or repetition).
|
| 11 |
+
Higher score = bona fide.'
|
| 12 |
+
code: https://huggingface.co/mbocanu/m1
|
| 13 |
+
checkpoint: https://huggingface.co/mbocanu/m1
|
| 14 |
+
dataset:
|
| 15 |
+
id: lab260/LRLspoof
|
| 16 |
+
revision: ac76f0e5472fdb68a6726e1fa94a148316e76916
|
| 17 |
+
split: test
|
| 18 |
+
scores:
|
| 19 |
+
srr_complement: 0.4309835781452942
|
| 20 |
+
n_trials: 1304455
|
| 21 |
+
n_skipped: 461
|
| 22 |
+
calibration:
|
| 23 |
+
source_dataset: SpeechAntiSpoofingBenchmarks/DeepVoice
|
| 24 |
+
threshold: 2.0103254378980897
|
| 25 |
+
artifact:
|
| 26 |
+
scores_url: https://huggingface.co/mbocanu/m1/resolve/7b17027a944370cf784daf891b621bc5285e199f/.eval_results/lab260/LRLspoof/scores.txt
|
| 27 |
+
scores_sha256: 42c7b95a739b9565ef4a8cd8629e6773fb534474077c8bfa426e0eb342cec08c
|
| 28 |
+
bench_version: speech-spoof-bench==0.4.1
|
| 29 |
+
reproduction:
|
| 30 |
+
reproduced_by: SpeechAntiSpoofingBenchmarks
|
| 31 |
+
reproduced_at: '2026-10-28'
|
| 32 |
+
reproduced_bench_version: speech-spoof-bench==0.4.1
|
| 33 |
+
match: scoring
|
| 34 |
+
submitter:
|
| 35 |
+
hf_username: mbocanu
|
| 36 |
+
contact: imbocanu@gmail.com
|
| 37 |
+
submitted_at: '2026-10-27'
|
| 38 |
+
notes: Submitted on 23 of the 24 sets. We do not submit CFAD. CFAD labels its partially fake clips (real recordings with a
|
| 39 |
+
replaced segment) as fake at clip level. Our product scores speech segment by segment, and we do not think one clip label
|
| 40 |
+
is the right test for mixed clips.
|