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Open Source Options for Building Smart Speakers Like Google Assistant

·285 words·2 mins

There are several open-source devices and frameworks that can be used to create smart speakers, such as Google Assistant. Below are the main options:

Open Source Smart Speaker Projects
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  1. Smart Speaker from Scratch
    • This project, available on GitHub, demonstrates how to build a smart speaker using Raspberry Pi, ReSpeaker microphone array, and speakers12.
    • It is designed to run Amazon Alexa, Google Assistant, Mycroft, Home Assistant, and more.
    • Emphasizes an open-source approach to enhance functionality while protecting user privacy.
  2. Eximus Smart Speaker
    • Utilizes ESP32-based hardware and features a design similar to the Amazon Echo Dot v33.
    • Includes various functionalities such as microphone array, Neopixel ring, and USB-C port, allowing for customizable extensions.

Open Source Voice Assistant Frameworks
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  1. SEPIA Framework
    • A cross-platform open-source voice assistant framework that allows the creation of interactive devices capable of operating fully offline4.
    • Easy customization and supports multiple languages.
  2. Rhasspy Voice Assistant
    • A voice assistant service that operates completely offline and can integrate with Home Assistant and Node-RED5.
    • Allows users to define and train their own voice commands.
  3. Aimybox SDK
    • An SDK that enables embedding a voice assistant into applications or devices6.
    • Compatible with various voice engines and supports Android and iOS platforms.

Hardware Development Kits
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  1. Smart Speaker Development Kit
    • Provides a hardware solution with microphones, buttons, speakers, and a Linux-based system7.
    • Integrated natural language processing features, such as ChatGPT, for an intuitive user experience.

Conclusion
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The above projects and frameworks are all suitable for creating or customizing smart speakers based on open-source technology. You can utilize low-cost hardware like Raspberry Pi or development boards such as ESP32, and implement voice recognition and control functionalities through frameworks like Rhasspy or SEPIA.