Abner Hernandez

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.

Layer selection for speech-based PD detection is more about the dataset than the model architecture, revealing a critical flaw in current approaches.

PhonoQ-derived features boost phonological classification accuracy, revealing intricate speech patterns that traditional models miss.