Datasets by Edge Impulse / Audio Classification - Faucet vs noise
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
This dataset has been collected by Edge Impulse teams to recognize the sound of water running from a faucet, even in the presence of other background noise.
You can also follow our tutorial learn how to collect audio data from microphones, use signal processing to extract the most important information, and train a deep neural network that can tell you whether the sound of running water can be heard in a given clip of audio. Finally, you'll deploy the system to an embedded device and evaluate how well it works.
Compatible Blocks
- Feature extraction: Audio (MFE), Spectrogram, Raw Data
- Learning block: Classification
Not sure what to choose? Try out this dataset with the EON Tuner.
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Summary
Data collected
15m 40sProject info
| Project ID | 497635 |
| Project version | 5 |
| License | Apache 2.0 |
