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Learn how to create a Miss Minutes-inspired voice assistant with Raspberry Pi Zero W in this step-by-step guide. Perfect for your Raspberry Pi voice project needs.

Introduction

In the realm of smart assistants, creating a personalized voice assistant can be both a fun and rewarding project. Inspired by the charismatic AI character Miss Minutes from the Marvel series Loki, this guide will walk you through building your own Miss Minutes voice assistant using a Raspberry Pi Zero W. Whether you’re a tech enthusiast or a busy professional looking to delve into the world of Raspberry Pi voice projects, this comprehensive tutorial has got you covered.

Supplies Needed

To embark on this Raspberry Pi voice project, ensure you have the following materials:

Raspberry Pi Zero W
Reliable and compact, the Pi Zero W serves as the brain of your voice assistant.
Purchase Here
Micro SD Card
At least 16GB for installing the Raspberry Pi OS.
USB Sound Card
Enables audio input and output functionalities.
Purchase Here
Collar Microphone
Perfect for capturing clear voice commands.
Purchase Here
Desktop Speaker
For audio playback without the need for additional amplifiers.
Purchase Here
5V DC Adapter
Powers your Raspberry Pi reliably.
Purchase Here
3D Printer and Filament
To create the Miss Minutes enclosure.
Purchase Here
Additional Tools
Including a glue gun, OTG cables, and audio jacks.
Glue Gun | OTG Cable

Step 1: Building the Miss Minutes Enclosure

Start by designing the Miss Minutes enclosure. While some prefer to begin with electronics, this project recommends creating the enclosure first. Utilize 3D modeling software like Fusion 360 to modify existing designs or create your own. For inspiration, you can reference projects such as the Miss Minutes clock available on platforms like Thingiverse.

Step 2: Multi-color 3D Printing

Achieving the signature Miss Minutes look involves multi-color 3D printing. Prepare your STL files and use slicing software like Cura to manage filament changes during printing. Switching colors manually requires pausing the print at specific layers. For a smoother experience, consider upgrading your printer to support automatic color changes.

Initial Layer: Orange filament
First Change: Black filament
Second Change: White filament
Third Change: Black filament

This technique enhances the aesthetic appeal, making your voice assistant resemble its on-screen counterpart.

Step 3: Post-Processing the 3D Print

After printing, carefully remove any support materials. Use fine-tipped markers to outline facial features and whiten the eyes, enhancing the overall appearance. A bit of manual touch-up can significantly elevate the quality of your enclosure.

Step 4: Setting Up Raspberry Pi Zero W with Google Assistant

Equip your Raspberry Pi Zero W with the necessary software to function as a voice assistant. Instead of building an AI from scratch, leverage the Google Assistant SDK, which now supports the Raspberry Pi Zero W.

Installing the Necessary Software

Update the System:
bash sudo apt-get update
Install Python 3 and Dependencies:
bash sudo apt-get install python3-dev portaudio19-dev libffi-dev libssl-dev
Install Google Assistant SDK:
bash python3 -m pip install --upgrade google-assistant-sdk[samples]

Step 5: Configuring Audio Hardware

The Raspberry Pi Zero W lacks built-in audio ports. Use a USB sound card to add audio input and output capabilities. Connect the collar microphone to the sound card’s input and use a desktop speaker for output. Ensure all connections are secure to facilitate seamless audio communication.

Step 6: Speaker and Microphone Setup

Configure your audio devices by editing the ALSA configuration files. Identify your sound card’s ID and device number using the following commands:

lsusb
arecord -l
aplay -l

Create and modify the .arecordrc file to map the microphone and speaker correctly. Adjust the volume settings using alsamixer to ensure optimal audio performance.

Step 7: Testing Audio Functionality

Before deploying the assistant, verify that both the speaker and microphone are functioning correctly.

Test Speaker:
bash speaker-test -t wav
Record Audio:
bash arecord --format=S16_LE --duration=5 --rate=16000 --file-type=raw out.raw
Play Recorded Audio:
bash aplay --format=S16_LE --rate=16000 out.raw

Successful tests indicate that your audio setup is ready for integration with the voice assistant.

Step 8: Setting Up Google Assistant

Register your device with Google to obtain the necessary credentials.

Create a New Project:
Visit the Google Cloud Console and create a new project.
Enable Google Assistant API:
Navigate to the APIs & Services dashboard and enable the Google Assistant API.
Configure OAuth Consent Screen:
Set up the OAuth consent screen to allow your Raspberry Pi to communicate with Google services.

Step 9: Installing and Authorizing the Google Assistant SDK

Authorize the SDK:
bash google-oauthlib-tool --scope https://www.googleapis.com/auth/assistant-sdk-prototype \ --save --headless --client-secrets /path/to/client_secret_client-id.json

This command will generate the necessary credentials file.

Step 10: Modifying the Assistant Script

Clone the Google Assistant SDK repository and modify the pushtotalk.py script to enable continuous listening without needing a trigger word.

git clone https://github.com/googlesamples/assistant-sdk-python.git

Navigate to the script and replace specific lines to ensure the assistant listens perpetually.

Step 11: Running Google Assistant on Startup

Ensure that the assistant starts automatically when the Raspberry Pi boots.

Edit rc.local:
bash sudo nano /etc/rc.local
Add the Following Line Before exit 0:
bash sudo -H -u pi python3 /path/to/pushtotalk.py &
Configure Network on Boot:
Use raspi-config to enable the option to wait for the network during boot, ensuring a stable internet connection.

Step 12: Testing the Voice Assistant

Reboot your Raspberry Pi to initiate the assistant. Once connected to Wi-Fi, the Raspberry Pi will start the pushtotalk.py script automatically. Test the assistant by speaking directly to the microphone. The omnidirectional microphone setup ensures that background noise is minimized, allowing for accurate voice recognition.

Step 13: Assembling Everything Together

With all components functioning, place the Raspberry Pi, sound card, microphone, and speaker into the 3D-printed Miss Minutes enclosure. Secure the parts using hot glue and heat inserts to maintain stability. Ensure that all connections remain accessible for maintenance and further enhancements.

Step 14: Enhancing the Project with Advanced Features

For those looking to take their Raspberry Pi voice project further, consider integrating additional features such as:

Battery Power:
Make your voice assistant portable by adding a battery pack.
Custom Trigger Words:
Enhance user interaction by implementing personalized wake words.
Deep Learning Models:
Incorporate more sophisticated AI models to improve responsiveness and personalization.

Final Thoughts

Building a Miss Minutes voice assistant with Raspberry Pi Zero W is a testament to the versatility and power of Raspberry Pi voice projects. This project not only provides a functional assistant but also serves as a foundation for more advanced AI integrations. As technology evolves, so do the possibilities for personal AI companions like Macaron, which aims to enhance everyday living through seamless integration and emotional intelligence.

If you’re passionate about developing innovative AI solutions that prioritize well-being and personal growth, explore more about Macaron and how it can transform your digital interactions.

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