Edge Impulse Inc. / Tutorial: Recognize sounds from audio
This is the finished Edge Impulse project for the tutorial 'Recognize sounds from audio'. From here you acquire new training data, design impulses and train models.
About this project
Running Sink Faucet Detection
Have you ever wanted to know if you left an appliance running while you were away from home? Clone this project to build an embedded ML project detecting when your sink's faucet is still running with incoming audio data!
You can also follow our tutorial to guide you through building your continuous audio recognition model, from data collection to deployment on embedded devices.
Sensor & Block Information
- Microphone audio data (.wav files) @ 16000 Hz
- MFE DSP block for non-human voice audio
- Neural Network Classifier with prediction outputs: "faucet", "noise"
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Spectrogram training data | NPY file | 2687 windows | |
| Spectrogram training labels | NPY file | 2687 windows | |
| Spectrogram testing data | NPY file | 394 windows | |
| Spectrogram testing labels | NPY file | 394 windows | |
| NN Classifier model | TensorFlow Lite (float32) | 15 KB | |
| NN Classifier model | TensorFlow Lite (int8 quantized) | 8 KB | |
| NN Classifier model | TensorFlow SavedModel | 20 KB | |
| NN Classifier model | Keras h5 model | 13 KB | |
| NN Classifier model | Model evaluation metrics (JSON file) | - |
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Summary
Data collected
15m 40sProject info
| Project ID | 14301 |
| Project version | 8 |
| License | Apache 2.0 |
