Tomás Arias-Vergara

Fine-tuning Whisper models for multilingual medical ASR reveals that the best performance hinges on the adaptation strategy, with surprising shifts in internal representations based on language context.

This study assesses the efficacy of various ML models in detecting electrical faults and pinpointing defective transmission lines within a 10 ms measurement interval—a critical time-frame for real-time operational viability, for the first time.