LASE eliminates the script-induced drop in speaker similarity (from 0.08-0.1 down to near zero) by training a language-adversarial projection head on top of frozen WavLM using synthesized cross-script pairs.
Domain-invariant speaker embedding via adversarial training
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LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation
LASE eliminates the script-induced drop in speaker similarity (from 0.08-0.1 down to near zero) by training a language-adversarial projection head on top of frozen WavLM using synthesized cross-script pairs.