window breakage auto session?

[frankie]

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?!

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[Tolido848]

Increase Segment Length: If the segmentation algorithm is limited to 8192 samples, try increasing the segment length if possible. This might help capture more context and improve accuracy.
Data Augmentation: Use data augmentation techniques to artificially increase the size and variability of your training dataset. This can help the algorithm generalize better to new data banana game
Algorithm Tuning: Experiment with different hyperparameters and configurations of your segmentation algorithm. Sometimes, small adjustments can lead to significant improvements in performance