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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