Eyal de Lara

Large-scale speech models outperform domain-specific ones, but no current model reliably generalizes across diverse clinical speech tasks.

FOLD achieves up to 2.09x higher throughput than traditional methods while maintaining 93-97% recall in deduplicating massive datasets for language model training.