Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
Tutorial: Responding to your voice
This is the finished Edge Impulse project for the tutorial 'Responding to your voice'. From here you acquire new training data, design impulses and train models.
About this project
Hello, World!
Have you ever wanted to make your own "Ok, Google" or "Alexa" keyword spotting model? Clone this project to build an embedded ML project detecting the "Hello World" keyword phrase.
You can also follow our tutorial to guide you through building your keyword spotting model, from data collection to deployment on embedded devices.
Sensor & Block Information
- Microphone audio data (.wav files) @ 16000 Hz
- MFCC DSP block for human voice audio
- Neural Network Classifier with prediction outputs: "helloworld", "noise", "unknown"
Run this model
Scan QR code or launch in browser
Dataset summary
Data collected
34m 22sSensor
audio @ 16KHzLabels
helloworld, noise, unknownProject info
| Project ID | 377443 |
| License | Apache 2.0 |
| No. of views | 61,084 |
| No. of clones | 0 |
