Hi,
I am a beginner in keyword spotting ML.
I have followed the tutorial and successfully integrated the C++ library generated by EI to my STM32 Sensortile board. Now the my task is to understand how to improve the prediction accuracy and reduce false prediction.
Looking at the graph below, even the accuracy said 93%, there is >10% that unknown voice can be predicted as “One” or “Zero”, which will make the demo kind of look really bad.
Any tips on reducing false prediction on Unknown data? Or the only way is to look at the visualization graph and delete manually one by one?
Thank you