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Mycroft is a hackable open source voice assistant. This script sets up dependencies and a virtualenv. If running in an environment besides Ubuntu/Debian, Arch or Fedora you may need to manually install packages as instructed by dev_setup.sh.
The official home of Skills for the Mycroft ecosystem. These Skills are written by both the MycroftAI team and others within the Community. If you are building Skills, please ensure that you use the Meta Editor for your README.md file. The Skills list is generated from parsing the README.md files.
Jovo is the first open source framework that lets you build voice apps for both Amazon Alexa and Google Assistant with only one code base. Besides cross-platform development, Jovo also offers a variety of integrations and easy prototyping capabilities.
Track your daily water intake with Google Assistant and voice interfaces. The main goal for this project is to show full stack solution for voice-interface application. Source code will be developed over time to handle new features and platforms in the future. How this project is different from guides or "hello world" projects at Actions on Google or Dialogflow? It's designed to be production-ready app, contains basic unit tests and clean code to be ready for further development or adaptation in similar apps.
Jovo is a development framework for cross-platform voice apps. Use this repository as a starting point to create a voice application for Amazon Alexa and Google Assistant. In this guide, you will learn how to create a "Hello World" voice app for both Amazon Alexa and Google Assistant.
Voicer work as AGI-server. Voicer accept request from asterisk via AGI app. It run handler for each request. Handler command asterisk record file. After this send file to recognition service, receive text, search by text in source of data for finding concordance, if source have this text it return channel for call, voicer set dialplan vars RECOGNITION_RESULT as SUCCESS and RECOGNITION_TARGET for finded result.