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.
Audio Classification - Keyword Spotting
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
Have you ever wanted to make your own "Ok, Google" or "Alexa" keyword spotting model? The helloworld class has been collected by Edge Impulse teams, the added noise samples come from the
Microsoft Scalable Noisy Speech Dataset and the unknown samples are based on a subset of data in the
Google Speech Commands Dataset.
This dataset can be used to build an Edge AI 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.
Compatible Blocks
- Feature extraction: Audio (MFCC), Audio (MFE), Spectrogram, Raw Data
- Learning block: Classification, Transfer Learning (Keyword Spotting)
Not sure what to choose? Try out this dataset with the EON Tuner.
Dataset summary
Data collected
34m 22sSensor
audio @ 16KHzLabels
helloworld, noise, unknownProject info
| Project ID | 499022 |
| Project version | 4 |
| License | BSD 3-Clause Clear |
| No. of views | 28,235 |
| No. of clones | 441 |
