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Open Voice OS

AI AppsAI Voice Agents#97Open Source · Raspberry Pi, Linux Desktops/Laptops, Embedded Devices

Open Voice OS is a community-driven, open-source voice AI platform for building custom voice-controlled interfaces. It offers NLP, a customizable UI, and prioritizes privacy and security, making it ideal for DIY smart speakers and embedded devices.

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Open Voice OS screenshot

OpenVoiceOS (OVOS) is a robust, community-driven, open-source voice AI platform designed for the creation of custom voice-controlled interfaces across a wide range of devices. At its core, OVOS leverages Natural Language Processing (NLP) and provides a customizable User Interface (UI), with a strong emphasis on user privacy and data security. This makes it an excellent choice for developers and hobbyists looking to build their own smart speakers or integrate voice control into various embedded systems.

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The platform is powered by a global community of developers from diverse Linux and Free and Open Source Software (FOSS) backgrounds, fostering an open environment for innovation in voice assistance technology. OVOS supports a multi-platform approach, enabling the development of voice assistants for everything from headless embedded devices to single-board computers with screens. It serves as an experimental playground for developers to test cutting-edge features before they are integrated into larger upstream projects.

Getting started with OVOS is designed to be straightforward, with installation options available via Docker for stability and ease of use, or through a Python virtual environment for developers who wish to modify the code. For users with Raspberry Pi or Mycroft® devices, a pre-built image is available, which is a streamlined Linux OS specifically tailored for hosting OVOS on embedded systems, low-spec headless devices, and small touch-friendly screens.

OVOS is committed to being free and open source under the Apache License 2.0, allowing for personal or commercial use, modification, and distribution. While donations are appreciated to support the project, they are entirely optional. The platform's architecture is plugin-based, offering flexibility in speech recognition (STT) and text-to-speech (TTS) engines, with options for both online and offline processing, including popular choices like Vosk, Mozilla DeepSpeech, Mimic3, Google TTS, and Amazon Polly.

Contributions are actively welcomed from the community, including testing, documentation, skill creation, code contributions, translations, and community support. The project aims to be an unsanctioned 'Mycroft Community Edition,' maintaining compatibility with Mycroft-core while adding enhanced functionality and faster development cycles. OVOS empowers users to create personalized voice assistants capable of controlling smart home devices, playing media, answering questions, setting timers, and much more, with extensibility through a marketplace of community-developed skills.

  • CategoryAI Voice Agents
  • Pricing ModelOpen Source
  • DeploymentDocker, Python, Pre-built Images
  • PlatformsRaspberry Pi, Linux Desktops/Laptops, Embedded Devices

  • Open-source voice AI platform

  • Customizable voice-controlled interfaces

  • Natural Language Processing (NLP) capabilities

  • Customizable User Interface (UI)

  • Focus on privacy and security

  • Multi-platform support for embedded devices and computers

  • Plugin-based architecture for STT and TTS

  • Offline and online STT/TTS options

  • Community-driven development model

  • Docker and Python installation methods

  • Pre-built images for Raspberry Pi and Mycroft devices

  • Apache License 2.0 for free use and distribution

  • Extensible with community-developed skills

  1. Install OVOS: Choose Docker for stability or Python for development.

  2. Configure STT/TTS: Select preferred speech recognition and text-to-speech engines.

  3. Develop Skills: Create custom skills to extend functionality.

  4. Deploy: Integrate OVOS onto your chosen hardware or device.

  5. Customize UI: Adapt the user interface to your needs.

  6. Integrate: Connect with smart home devices or other services.

  • DIY Smart Speaker
  • Embedded Voice Control
  • Custom Voice Assistant
  • Smart Home Hub
  • Educational Tool
  • Privacy-Focused Assistant

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