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