This is a series where I walk through the engineering steps and challenges on how to build an Artificial intelligence voice assistant, similar to google home or Amazon Alexa, with Python and PyTorch on a Raspberry Pi. I leverage the latest machine and deep learning techniques to achieve this.

In this video, I show how you can build a wake word detector (keyword spotting) using recurrent neural networks specifically LSTMs.

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Github:
https://github.com/LearnedVector/A-Hackers-AI-Voice-Assistant

Parts:
raspberry pi 4 model b - https://www.amazon.com/gp/product/B07TC2BK1X/ref=ppx_yo_dt_b_search_asin_title?ie=UTF8&psc=1

ReSpeaker 2 mic array hat - https://www.amazon.com/gp/product/B07D5X7N6W/ref=ppx_yo_dt_b_search_asin_title?ie=UTF8&psc=1

portable mini speaker - https://www.amazon.com/gp/product/B07RJR1XPH/ref=ppx_yo_dt_b_search_asin_title?ie=UTF8&psc=1

micro sd - https://www.amazon.com/gp/product/B07KY36H93/ref=ppx_yo_dt_b_search_asin_title?ie=UTF8&psc=1