Part 3/3:
To improve performance, the narrator offloads the speech-to-text and text-to-speech processing to separate Docker containers running on the laptop, rather than the Raspberry Pi. This allows them to take advantage of the laptop's more powerful hardware.
Customizing the Wake Word and Voice
The narrator attempts to customize the wake word to "Terry" and create a custom voice for the assistant, but faces challenges. They plan to address this in a future video, determined to make the voice assistant truly their own.
Overall, the narrator demonstrates a deep dive into building a fully local, AI-powered voice assistant, leveraging open-source tools and hardware to create a more private and customizable alternative to cloud-based assistants like Alexa.