Edge Impulse Inc. / Tutorial: Recognize sounds from audio Public
Target: Raspberry Pi 4 Clone this project

Test data

Set thresholds
Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

Apply filters

Sample name Expected outcome Length Accuracy Result
noise12.uvcljru.wav noise 1m 0s 100% 197 noise
Show classification Show in data acquisition Show in feature explorer
faucet1.v1m71av.wav faucet 1m 0s 100% 197 faucet
Show classification Show in data acquisition Show in feature explorer
Filter yielded no results, click to adjust the filter

Model testing output

Results

Model version:
Accuracy
100.00%

Metrics for NN Classifier

Metric Value
Area under ROC Curve 1.00
Weighted average Precision 1.00
Weighted average Recall 1.00
Weighted average F1 score 1.00

Confusion matrix

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Feature explorer

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