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How to Build a Multilingual AI Voice Assistant

ByteTrending by ByteTrending
October 6, 2025
in Curiosity, Tech
Reading Time: 3 mins read
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How to Build a Multilingual AI Voice Assistant

Get hands-on with creating your own multilingual AI voice assistant! We heard about ElevenLabs’ AI voice assistant from one of our board members, Chris Mairs, so we thought we’d invite him to write the introduction for this post, which goes on to explain how you can build your own using Raspberry Pi. This project offers a fascinating entry point into conversational AI.

Chris: I’m one of the board members at Raspberry Pi, and I first got introduced to ElevenLabs when I started a free weekly blog this summer: The Open Eyed Man.

The blog explores life as a blind man in a visual world, with an optimistic view on how AI — and, in particular, conversational voice agents — could be transformative. ElevenLabs kindly invited me to create a clone of my own voice in their recording studio, and there is now a personalized audio narration using that scarily realistic clone at the top of each The Open Eyed Man post. I’d love people to take a look or a listen, and to subscribe and share; the content is often lighthearted, but hopefully insightful and accessible to non-technical readers.

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And don’t worry — the conversational assistant that Thor from ElevenLabs shows you how to build below absolutely does not use the clone of my voice. There are far more mellifluous and cheery options.

Building Your Own AI Voice Assistant

Thor Schaeff’s setup enables you to run ElevenLabs’ conversational AI model on a Raspberry Pi, making it function as an AI assistant that can answer your questions completely hands-free. Building your own voice assistant provides unique customization options and a deeper understanding of AI technology.

If you want to skip the video and go straight to the code, here’s the GitHub repo

Essential Components for Your Raspberry Pi Voice Assistant

To embark on this exciting project, you’ll need a few key components. Firstly, a Raspberry Pi is required; a Raspberry Pi 5 or similar model would work best due to its processing power. A small microphone and speaker are also essential for interacting with your new voice assistant, although a Bluetooth speaker with a built-in microphone is a convenient choice.

Kit List

  • A Raspberry Pi (Raspberry Pi 5 or similar would work best for crunching this amount of data)
  • A small microphone and speaker (Thor chose a Bluetooth speaker with a built-in microphone)
  • Python 3.9 or higher installed on your Raspberry Pi
  • An ElevenLabs account with an API key

Multilingual Customization Options

Thor’s setup wakes up to the hotword “Hey Eleven,” but you can tailor this to your own preference as you code. His build speaks to him in an American male accent, but you can also choose your own voice option for your AI buddy. The potential for personalization is a key benefit of building your own voice assistant.

Here’s Thor walking you through ElevenLabs’ dashboard during the build video — it all sounds almost impossibly simple!

Furthermore, the AI model is multilingual, meaning it can respond to you in a language of your choosing. Notably, there’s a fun discussion on X about what languages people are testing it in, highlighting the versatility of this voice assistant.

In addition to being customizable and multilingual, building your own AI voice assistant with Raspberry Pi is a fun project for those interested in exploring the world of conversational AI. Therefore, with ElevenLabs’ powerful models and Thor’s clear instructions, you can create a personalized assistant that responds to your commands in multiple languages!

Conclusion

Creating your own multilingual AI voice assistant is an achievable project for enthusiasts who want to explore the possibilities of conversational AI. It combines hardware (Raspberry Pi), software (Python, ElevenLabs API), and a bit of creativity. Ultimately, this endeavor offers both educational value and the satisfaction of having a personalized, hands-free digital companion.



Source: Read the original article here.

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