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A voice controlled life automation hub, most commonly powered by the Raspberry Pi. A live chat to get help and discuss mirror related issues: https://discord.gg/EMb4ynW. Usually there are a few folks hanging around in the lobby, but if there arent you are probably better off filing an issue.
Try out Porcupine using its interactive web demo. You need a working microphone. Try out Porcupine by downloading it's Android demo application. The demo application allows you to test Porcupine on a variety of wake words in any environment.
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.
Sonus lets you quickly and easily add a VUI (Voice User Interface) to any hardware or software project. Just like Alexa, Google Now, and Siri, Sonus is always listening offline for a customizable hotword. Once that hotword is detected your speech is streamed to the cloud recognition service of your choice - then you get the results. Generally, running npm install should suffice. This module however, requires you to install SoX.
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.
Start recording when the user speaks. All you have to do is tell us when to start listening. Then we wait for an audible noise and start recording. This is mostly useful for user speech input and the "Start talking now prompt". First, install by adding pod 'FDSoundActivatedRecorder', '~> 1.0.0' to your Podfile.
A lightweight, simple-to-use, RNN wake word listener. Precise is a wake word listener. Like its name suggests, a wake word listener's job is to continually listen to sounds and speech around the device, and activate when the sounds or speech match a wake word. Unlike other machine learning hotword detection tools, Mycroft Precise is fully open source. Take a look at a comparison here.