Edge Impulse Inc. / Tutorial: Recognize sounds from audio Public

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.

Keyword spotting

About this project

Running Sink Faucet Detection

Sink faucet

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"
noise12.v1vurlm.wav
noise2.uv2e67s.wav
noise13.v1ivqjs.wav
noise12.v1ifgbh.wav
noise5.uv3c56p.wav
faucet0.v1k8j5u.wav
noise6.uv3o3kk.wav
faucet0.uv72luj.wav

Run this model

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Dataset summary

Data collected
15m 40s
Sensor
audio @ 16KHz
Labels
faucet, noise

Project info

Project ID 14301
Project version 8
License BSD 3-Clause Clear
No. of views 45,452
No. of clones 464