this post was submitted on 17 Nov 2023
1 points (100.0% liked)

Machine Learning

1 readers
1 users here now

Community Rules:

founded 1 year ago
MODERATORS
 

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

you are viewing a single comment's thread
view the rest of the comments
[–] bigfish_in_smallpond@alien.top 1 points 11 months 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.