AI Technology Stack

Voice sample analysis using patented machine learning (ML) and deep learning (DL) techniques. Voice is a very under-utilized biomarker which can uncover many insights about a person’s health. Analyzing these data sets, Vocalis Health is identifying, developing and validating disease-specific vocal biomarkers (respiratory symptoms, high or low peak flow measurements, respiratory patients’ hospitalization). Collect Data: Voice samples are collected from users via Vocalis Health research software solution Labeling: Voice recordings are then analyzed, verified and labeled with an associated medical record Transform to Spectrogram: The Vocalis Health technology transforms the audio recordings to visual images Feature Extraction: A unique signature is generated per disease/condition and for each individual patient Training and Validation: A 10-fold cross validation procedure is then conducted on the training data of a specific vocal biomarker
Artificial Intelligence, Deep Learning, Machine Learning
5
Python

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