I am using auto session with a segmentation algorithm to detect event in my audio file captured from Quick Feather board. But no matter what segmentation algorithm I used, the accuracy in auto sense result is below 60%. I tried to label the segments manually and use generate auto session to get customized algorithm by training DCL with example events.
But it doesn't work, no idea how to do for the next with limited log message.
I think the root cause is segmentation algorithm has limited maximum segment samples to 8192?!