Introduction to Embedded Machine Learning 3.1.1 - Introduction to Audio Classification

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Embedded machine learning is the process of running machine learning algorithms (including deep learning) on embedded systems, such as microcontrollers and single board computers. These videos come from the Coursera course: Introduction to Embedded Machine Learning. If you would like to take the full course, complete projects, and earn a certificate in embedded machine learning, please go here:

Shawn provides examples of how audio classification is useful in our everyday lives and covers the basics of speaker and microphone operation. He defines sample rate and bit depth as they relate to digital audio signals.
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