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Codesota · Speech · Speaker Verification · VoxCeleb1-OTasks/Speech/Speaker Verification
Speaker Verification · benchmark dataset · 2017 · EN

VoxCeleb1 Original Test Set (VoxCeleb1-O).

The original VoxCeleb1 speaker-verification test trials (~37k pairs from 40 speakers). EER (Equal Error Rate, lower=better) is the standard metric. SOTA systems are well below 1%.

Paper Submit a result
§ 01 · Leaderboard

Best published scores.

3 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.


Primary
eer · higher is better
eer· primary
3 rows
#ModelOrgSubmittedPaper / codeeer
01ResNet-34 (AM-Softmax, VoxCeleb2)OSSCommunityApr 2026editorial1.18
02ECAPA-TDNNOSSGhent UniversityApr 2026editorial0.870
03WavLM Large (SV)OSSMicrosoftApr 2026editorial0.383
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 03 · Progress

1 steps
of state of the art.

Each row below marks a model that broke the previous record on eer. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

SOTA line · eer
  1. Apr 5, 2026ResNet-34 (AM-Softmax, VoxCeleb2)Community1.18
Fig 3 · SOTA-setting models only. 1 entries span Apr 2026 Apr 2026.
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies