Edge Impulse Inc. / Bird sound classifier Public

Edge Impulse Inc. / Bird sound classifier

Classifies audio as representative of either the house sparrow, rose-ringed parakeet, or background noise.

Creating your first impulse (100% complete)

Acquire data

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Design an impulse

Teach the model to interpret previously unseen data, based on historical data. Use this to categorize new data, or to find anomalies in sensor readings.

Deploy

Package the complete impulse up, from signal processing code to trained model, and deploy it on your device. This ensures that the impulse runs with low latency and without requiring a network connection.

Download block output

Title Type Size
MFCC training data NPY file 4394 windows
MFCC training labels NPY file 4394 windows
MFCC testing data NPY file 10521 windows
MFCC testing labels NPY file 10521 windows
NN Classifier model (version #1) TensorFlow Lite (float32) 27 KB
NN Classifier model (version #1) TensorFlow Lite (int8 quantized) 11 KB
NN Classifier model (version #1) TensorFlow Lite (int8 quantized with float32 input and output) 11 KB
NN Classifier model (version #1) TensorFlow SavedModel 36 KB
NN Classifier model (version #2) TensorFlow Lite (float32) 13 KB
NN Classifier model (version #2) TensorFlow Lite (int8 quantized) 10 KB
NN Classifier model (version #2) TensorFlow Lite (int8 quantized with float32 input and output) 10 KB
NN Classifier model (version #2) TensorFlow SavedModel 23 KB
NN Classifier model (version #3) TensorFlow Lite (float32) 13 KB
NN Classifier model (version #3) TensorFlow Lite (int8 quantized) 10 KB
NN Classifier model (version #3) TensorFlow Lite (int8 quantized with float32 input and output) 10 KB
NN Classifier model (version #3) TensorFlow SavedModel 24 KB

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Summary

Data collected
2h 33m 37s

Project info

Project ID 16124
Project version 1