AMECxSV: Adaptive Metadata-Driven Calibration for X-Lingual Speaker Verification

· Paper · Speaker Verification / Score Calibration / X-Lingual ASV / MLP

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Figure 1 from the AMECxSV paper: adaptive metadata-driven embedding-fusion calibration pipeline
Figure 1 from the AMECxSV paper: fixed encoder scores remain the evidence; metadata condition how those scores are calibrated.

AMECxSV is a lightweight calibration backend for cross-lingual speaker verification. It fuses scores from fixed speaker encoders with trial context such as language match and utterance duration, without retraining the encoders.

On the held-out development-derived evaluation, the score-and-metadata heads improve full-coverage EER for both the official TidyVoice score source and LI-MSV. The controls also show the intended boundary: metadata improve calibration when aligned with score evidence, but are not useful as speaker evidence by themselves.