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[D] Supervized time-series segmentation from timestamp-based labels (alien.top)

submitted 1 year ago by deadalius@alien.top to c/machinelearning@academy.garden

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Hi,

I have different audio time-series with timestamp-based annotations of multiple start + end segment boundaries that are denoting consecutive respiration cycles.

Does anyone has an idea on how I could use supervized-learning approaches to automatically segment respiration cycles from audio time series ?

Cheerz

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[–] bigfish_in_smallpond@alien.top 1 points 1 year ago

You can try this tool. With the adaptive windowing segmentation. https://sensiml.com/documentation/data-capture-lab/automated-labeling-tools.html. PM me if you want some help getting it set up.