Kostek emphasizes that automating note-taking for patient data enhances doctors' efficiency, allowing for more direct interaction with patients and improving data accuracy.
STT technology faces challenges with medical terminology, particularly in Polish, due to limited training on specialized vocabulary and difficulties presented by noisy hospital environments.
To improve STT accuracy in medical settings, a comprehensive audio dataset featuring Polish medical terms was developed and analyzed using Automatic Speech Recognition models.
Kostek's research aims to highlight the correlation between speech clarity and the effectiveness of speech-to-text accuracy, which is crucial for health professionals.
#speech-to-text-technology #medical-research #enunciation #healthcare-efficiency #automatic-speech-recognition
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