11 best open source voice assistant projects.

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Displaying 1 to 11 from 11 results

Mycroft - an Artificial intelligence for everyone

Python

Mycroft is an Artificial intelligence for everyone. It uses open software to process natural language, determine your intent and take action. It can integrate a host of professional functions – Control scenes to conserve power, grant office access with your voice. It can control all of your media and devices with the sound of your voice. Adjust your thermostat, turn on your lights, water your lawn, play your favorite movie and lot more.

ai nlp voice-assistant raspberry-pi natural-language-processing natural-language voice-as-an-interface artificial-intelligence personal-assistant speech-recognition

mycroft-skills - A repository for sharing and collaboration for third-party Mycroft skills development

HTML

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.

mycroft-skill collaboration voice-control voice-assistant skills mycroft apps

Jovo Framework - Build cross-platform voice applications for Amazon Alexa and Google Home

Javascript

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.

amazon-alexa alexa-skill alexa google-home google-actions google-assistant voice-assistant voice voice-applications jovo-framework speech-recognition

WaterLog-assistant-app - Track your daily water intake with Google Assistant and voice interfaces.

Javascript

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.

firebase google-actions nodejs dialogflow google-assistant firebase-cloud-functions firebase-realtime-database voice-assistant vui

jovo-sample-voice-app-nodejs - Sample Voice App that uses the Jovo Framework to create a "Hello World" Alexa Skill and Google Action

Javascript

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.

amazon-alexa google-actions alexa-skill google-home voice-assistant jovo-framework voice skills

voicer - AGI-server voice recognizer for #Asterisk

Javascript

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.

asterisk dialplan agi recognition voice voice-recognition voice-commands voice-control voice-assistant yandex google asr

skill-personal - Mycroft AI official Personality Skill - answers basic personality questions around Mycroft

Python

This Skill answers some basic origin questions and personality questions around Mycroft AI, allowing the user to learn more about him.

mycroft mycroftai mycroft-skill personality voice-assistant

wakeword-benchmark - wake word engine benchmark framework

Python

The primary purpose of this benchmark framework is to provide a scientific comparison between different wake-word detection engines in terms of accuracy and runtime metrics. Currently, the framework is configured for Alexa as the test wake-word. But it can be configured for any other wake-words as described here. Common Voice is used as background dataset, i.e., dataset without utterances of the wake-word. It can be downloaded from here. Only recordings with at least two up-votes and no down-votes are used (this reduces the size of the dataset to ~125 hours).

wakeword benchmark alexa voice-assistant hotword-detection wake-word-detection

voice-overlay-android - 🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

Kotlin

Voice overlay helps you turn your user's voice into text, providing a polished UX while handling for you the necessary permission. See it implemented in the demo app.

voice overlay input speech-to-text stt voice-recognition speech-recognition voice-assistant conversation conversational-ui conversational-interface conversational-bots chatbots permission permissions permissions-android instant-search instantsearch search android

voice-overlay-ios - 🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

Swift

Voice overlay helps you turn your user's voice into text, providing a polished UX while handling for you the necessary permissions. It uses internally the native SFSpeechRecognizer in order to perform the speech to text conversion.

voice voice-recognition voice-assistant voicetext instant-search instantsearch input search overlay speech-to-text conversation conversational-ui conversational-interface conversational-bots chatbots permissions speech-recognition ios

AssistantJS - TypeScript framework to build cross-platform voice applications (alexa, google home,

TypeScript

As you can see, AssistantJS supports you in building more varied voice applications per default. Just use our template syntax ({Allright|Okay}) or pass all alternatives in an array. Thanks to our convention over configuration rulesets, we are greeting google assistant users different than alexa users. We could even greet them device-specific thanks to these conventions. Oh, and as you can see, inheriting intents (like the helpGenericIntent above) from other states (here: ApplicationState) is also possible.