Datasets by Edge Impulse / 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.
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Summary
Data collected
34m 22sProject info
| Project ID | 499022 |
| Project version | 3 |
| License | Apache 2.0 |
