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