InterBias-SV: Compound Conditions in Speaker Verification
Speaker verification systems encounter combinations of noise, channel distortion, and changes in speech. Evaluating each condition separately does not establish whether their effects add. InterBias-SV organises this question around a four-term comparison: joint error, two marginal errors, and a common reference. Its results artefact contains 4,068 scored records across 17 experiments, 12 encoder labels, and six speech corpora, totalling 12 million trial evaluations. Three experiment families contain the same-corpus terms needed to compute additive contrasts. For labels assigned to speaker-trained encoders, their mean contrasts are +0.0026, +0.0088, and +0.0024 in equal error rate (EER), w...
| Authors | Kamel Kamel, Hridoy Sankar Dutta, Keshav Sood et al. |
|---|---|
| Primary category | cs.SD |
| Published | 29 September 2026 |
| Last updated at source | 29 September 2026 |
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