You're reading from Raspberry Pi Pico DIY Workshop

Product typeBook

Published inMay 2022

PublisherPackt

ISBN-139781801814812

Edition1st Edition

Concepts

Single Board Computers

Authors (2):

Sai Yamanoor

Srihari Yamanoor

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Keyword recognition in audio samples

In this section, we will discuss keyword recognition in an audio sample using the Pico. This is similar to the voice assistant devices that are designed and marketed by tech giants such as Amazon Echo, Google Home, and others that respond to an activation keyword such as "Hey Alexa." We will be making use of Edge Impulse (https://edgeimpulse.com) to work on this example. Sign up for a developer account on Edge Impulse to work along with this example.

Edge Impulse

Edge Impulse is a platform that allows you to develop TinyML applications using their platform and deploy them on a microcontroller. Edge Impulse is an interactive tool that allows you to develop applications without prior knowledge of machine learning.

If you are interested in becoming a certified developer, we recommend these courses from Edge Impulse on Coursera: https://www.coursera.org/edgeimpulse.

We worked on this example while using the following tutorial...

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Raspberry Pi Pico DIY Workshop

Published in: May 2022Publisher: PacktISBN-13: 9781801814812

Authors (2)

Sai Yamanoor

Sai Yamanoor is an embedded systems engineer working for a private startup school in the San Francisco Bay Area, where he builds devices that help students achieve their full potential. He completed his undergraduate work in mechatronics engineering from Sri Krishna College of Engineering and Technology, Coimbatore, India and his graduate studies in mechanical engineering at Carnegie Mellon University, Pittsburgh PA. His interests, deeply rooted in DIY and open software and hardware cultures, include developing gadgets and apps that improve the quality of life, Internet of Things, crowdfunding, education, and new technologies. In his spare time, he plays with various devices and architectures, such as the Raspberry Pi, Arduino, Galileo, Android devices and others. Sai has earlier published a book titled Raspberry Pi Mechatronics Projects.
Read more about Sai Yamanoor

Srihari Yamanoor

Srihari Yamanoor is a mechanical engineer, working on medical devices, sustainability, and robotics in the San Francisco Bay Area. He completed his undergraduate studies in mechanical engineering from PSG College of Technology, Coimbatore, India and graduate studies in mechanical engineering at Stanford University. He is certified in SolidWorks, simulation, sustainable design, PDM as well as in quality and reliability engineering and auditing. His has a wide range of interests, from DIY, crowdfunding, AI, travelling, photography to gardening and ecology.
Read more about Srihari Yamanoor

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