Rhasspy (pronounced RAH-SPEE) is an offline, multilingual voice assistant toolkit inspired by Jasper that works well with Home Assistant, Hass.io, and Node-RED. Designed so that you don't have to use any not-self-hosted software under the hood, from speech recognition to TTS. Emits JSON events. Vocabulary can be expanded with the automated assistance feature. Will run on something as simple as a RasPi but doesn't treat x86(-64) like a second-class citizen. Commands/intents are specified in a fairly easy templating language.
Stanford has open sourced a self-hosted, personal assistant system. Designed with privacy in mind. Speech recognition, analysis, task execution. They want to make so that it's easy and highly useful for everyone to integrate into their stuff. Can monitor things and filter for certain things. Aims for composability. Services (skills) are also open source and crowdsourced.
Jarvis is an ultra-light and multilingual voice assistant. Designed for home automation, it can run on energy efficient systems (eg Raspberry Pi). Very easy to use, it leaves you the choice of recognition engine and speech synthesis and installs them for you. It is extremely customizable, including via the addition of plugins. French and English.
Can be used with audio files and probably a hot mic to transcribe speech into text for later processing. Uses git Large File Storage for the neural network objects. GPU acceleration enabled. Includes trained models as well as source code. Available in PyPy as deepspeech and deepspeech-gpu. Supports the RasPi explicitly as a platform, interestingly.
voice assistant speechrecognition exocortex Designed for privacy, runs on-device on-prem, works without a network connection. There are community contributed skills, called snips, provided skills, and you can develop your own with a web based visual builder. Supports multiple human languages. Deploy to your own devices as long as they run android or linux. github repos here: https://github.com/snipsco