Importance

Loading Importance Indicators...

Abstract

Methods and systems for training an audio-based machine learning model to predict a health condition based on biological sounds emitted by a person. Audio data corresponding to biological sounds produced by the person is generated from a microphone. The audio data is segmented into a plurality of segments, each segment associated with a respective sound event. An audio-based machine learning model is executed on the plurality of segments. The audio-based machine learning model is configured to output, for each segment, a label of a medical condition and an associated a confidence score. The model is trained via active learning, in which a subset of the plurality of segments are selected based on their confidence score being below a threshold, and provided to a human for annotation.

Loading the Abstract Image...

First Claim