MG24 Tech Lab Workshop
-
1:44:56
-
1:11:40
-
1:5:2
-
1:38:3
This material is 2 of 4 in the MG24 Tech Lab Workshop Series.
Learn about the features of the EFR32MG24 wireless SoC including advanced AI/ML capabilities while getting hands-on experience with the help of Silicon Labs' expert engineers. Each project session will explore and solve challenges developers often face when designing battery-powered IoT end devices.
Learn about the features of the EFR32MG24 wireless SoC including advanced AI/ML capabilities while getting hands-on experience with the help of Silicon Labs' expert engineers. Each project session will explore and solve challenges developers often face when designing battery-powered IoT end devices.
About this Session:
In this MG24 Tech Lab workshop, Chris Rogers and Chris Knorowski from SensiML demonstrate how to build a model to classify guitar tuning notes that can run entirely on a microcontroller using the SensiML Analytics Toolkit. This workshop will provide you with the knowledge to build an audio recognition model.
You will learn how to:
- Collect and annotate audio data
- Applying signal preprocessing
- Train a classification algorithm
- Create firmware optimized for the resource budget of an edge device
Prerequisites:
Hardware Required:
Speakers
Chris Rogers
CEO
SensiML
Chris Knorowski
CTO
SensiML