April 2025
Intermediate to advanced
340 pages
5h 53m
English
In the world of TinyML and audio processing, audio wake word detection—a.k.a. keyword spotting (KWS)—has become essential for enabling hands-free interactions with our devices. From smart speakers to mobile phones, KWS systems constantly listen for specific wake words or commands. However, implementing these systems on resource-constrained devices presents unique challenges, particularly when processing raw audio data efficiently.
So far, you worked with numeric data that ...
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