I trained a speech command classification model and deployed C++ Library on nrf5340DK. On board the model is reporting completely different results. I have tested with raw feature data from various test samples. One example is up-2022-03-08 16:04:07.wav.2th7jm07.s1. After some debugging, I found that the MFCC features created on the device are completely different from the “Processed Features” reported on the portal for the same sample.
Could you help me to fix this?
Project ID is CHIRAG-DATACOLLECTION_FROM_OWN_BOARD-4_CMDS.
I cannot find your sample 2th7jm07.s1 to test on this sample.
However when I use the example-standalone-inferencing, I have the same results between the studio and the console output (tested with both quantized and float32 model):