Edge Impulse Inc. / Tutorial: Responding to your voice Public

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Model optimizations can increase on-device performance but may reduce accuracy. Performance estimate for Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz).
Quantized (int8)
Latency
Ram
Flash
Accuracy
MFCC NN Classifier Total
230 ms.33 ms. 263 ms.
15.2K14.1K 15.2K
-46.6K -
-
Unoptimized (float32)
Latency
Ram
Flash
Accuracy
MFCC NN Classifier Total
230 ms.417 ms. 647 ms.
15.2K- 15.2K
-- -
88.38%
To compare model accuracy, clone this project and run model testing.

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