jonathando8 / EEP564 Project-Audio Classification - Home Security Public
Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

Test data

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Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

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Sample name Expected outcome Length Accuracy Result
glass_breaking.1720795798871.wav.52gbd0dd.ingestion-5f8bffd587-c8f4m anomaly 2s 67% 2 anomaly, 1 uncertain
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glass_breaking.1720795807379.wav.52gbd8a7.ingestion-5f8bffd587-c8f4m anomaly 1s 100% anomaly
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glass_breaking.1720517141214.wav.5281kve8.ingestion-fc7f89497-4jl22 anomaly 5s 100% 9 anomaly
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glass_breaking.1720517191633.wav.5281mtfg.ingestion-fc7f89497-bszq5 anomaly 2s 100% 3 anomaly
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glass_breaking.1719495038403.wav.519itf5b.ingestion-5bbc9c7c44-8mnxw anomaly 2s 100% 2 anomaly
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glass_breaking.1719495003895.wav.519irv3h.ingestion-5bbc9c7c44-dg7sj anomaly 2s 100% 2 anomaly
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ch02 normal 5m 0s 100% 599 normal
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5-249937-A-22 normal 5s 100% 9 normal
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5-233312-A-28 normal 5s 100% 9 normal
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5-220027-A-21 normal 5s 0% 8 anomaly, 1 uncertain
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5-187979-A-21 normal 5s 44% 5 anomaly, 4 normal
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4-197454-A-28 normal 5s 100% 9 normal
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4-189838-A-22 normal 5s 100% 9 normal
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3-197435-B-22 normal 5s 78% 7 normal, 2 uncertain
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4-167642-A-21 normal 5s 0% 8 anomaly, 1 uncertain
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4-184237-A-28 normal 5s 100% 9 normal
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4-156844-A-21 normal 5s 100% 9 normal
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3-124795-A-28 normal 5s 56% 5 normal, 3 anomaly, 1 uncertain
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3-144692-A-21 normal 5s 89% 8 normal, 1 uncertain
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3-123086-A-28 normal 5s 100% 9 normal
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3-148330-A-21 normal 5s 22% 6 anomaly, 2 normal, 1 uncertain
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2-76408-B-22 normal 5s 100% 9 normal
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2-130979-A-21 normal 5s 89% 8 normal, anomaly
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2-119102-A-21 normal 5s 33% 5 anomaly, 3 normal, 1 uncertain
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2-117330-A-28 normal 5s 100% 9 normal
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1-94036-A-22 normal 5s 100% 9 normal
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1-54505-A-21 normal 5s 22% 6 anomaly, 2 normal, 1 uncertain
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1-47273-A-21 normal 5s 22% 4 anomaly, 3 uncertain, 2 normal
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1-20545-A-28 normal 5s 100% 9 normal
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1-29680-A-21 normal 5s 11% 6 anomaly, 2 uncertain, 1 normal
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1-104089-B-22 normal 5s 89% 8 normal, 1 uncertain
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5-250026-A-30 anomaly 5s 100% 9 anomaly
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5-251426-A-30 anomaly 5s 89% 8 anomaly, 1 uncertain
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5-233607-A-39 anomaly 5s 67% 6 anomaly, 3 uncertain
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5-217158-A-0 anomaly 5s 100% 9 anomaly
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5-203128-A-0 anomaly 5s 22% 7 normal, 2 anomaly
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4-211502-A-30 anomaly 5s 78% 7 anomaly, 2 normal
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4-204777-B-39 anomaly 5s 22% 7 normal, 2 anomaly
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4-204121-A-39 anomaly 5s 56% 5 anomaly, 3 normal, 1 uncertain
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4-204115-A-39 anomaly 5s 67% 6 anomaly, 2 normal, 1 uncertain
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4-182395-A-0 anomaly 5s 89% 8 anomaly, 1 uncertain
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4-182041-A-30 anomaly 5s 89% 8 anomaly, 1 normal
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3-216280-A-39 anomaly 5s 100% 9 anomaly
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3-203374-A-39 anomaly 5s 100% 9 anomaly
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3-182023-A-30 anomaly 5s 33% 5 normal, 3 anomaly, 1 uncertain
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3-170574-A-30 anomaly 5s 67% 6 anomaly, 3 uncertain
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3-152594-A-30 anomaly 5s 89% 8 anomaly, 1 uncertain
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3-144028-A-0 anomaly 5s 44% 4 anomaly, 3 normal, 2 uncertain
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2-140841-A-30 anomaly 5s 89% 8 anomaly, 1 normal
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2-122104-A-0 anomaly 5s 100% 9 anomaly
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2-118964-A-0 anomaly 5s 78% 7 anomaly, 1 normal, 1 uncertain
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2-116400-A-0 anomaly 5s 67% 6 anomaly, 2 normal, 1 uncertain
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2-112213-A-39 anomaly 5s 56% 5 anomaly, 3 uncertain, 1 normal
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1-30226-A-0 anomaly 5s 56% 5 anomaly, 3 normal, 1 uncertain
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1-103999-A-30 anomaly 5s 89% 8 anomaly, 1 uncertain
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1-84536-A-39 anomaly 5s 44% 5 normal, 4 anomaly
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1-103995-A-30 anomaly 5s 89% 8 anomaly, 1 uncertain
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Model testing output

Results

Model version:
Accuracy
87.56%

Metrics for Classifier

Metric Value
Area under ROC Curve 0.86
Weighted average Precision 0.90
Weighted average Recall 0.89
Weighted average F1 score 0.89

Confusion matrix

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Feature explorer

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