Mycroft is modular. Some components can be easily 'swapped out' for others:
Wake Word detection
Speech to Text (STT)
A Wake Word is a phrase you use to tell Mycroft you're about to issue a command. By default this is
Hey Mycroft, but you can configure your own Wake Word in your Mycroft Home account.
There are two technologies that Mycroft.AI currently uses for Wake Word detection:
Because PocketSphinx is trained on English speech, your Wake Word currently needs to be an English word, like
Hi there Mickey or
Hey Mike. Wake Words in other languages, like Spanish, French or German, won't work as well.
Precise: Unlike PocketSphinx, which is based on Speech to Text technology, Precise is a neural network that is trained on audio data. It doesn't matter what words you want to use for your Wake Word. Instead, you train it on sounds. The downside is that Precise needs to be trained on your chosen Wake Word. Precise has been the default Wake Word Listener for each Mycroft Device since mid-March 2018. Prior to this date, PocketSphinx was the default.
Speech to Text (STT) software is used to take spoken words, and turn them into text phrases that can then be acted on.
DeepSpeech is not yet ready for production use and Mycroft currently uses Google STT as the default STT engine.
Mycroft also supports other STT engines that can be configured using the Configuration Manager:
IBM Watson Speech to Text (username and password required)
wit.ai Speech to Text (wit.ai API key required)
An intent parser is software which identifies what the user's intent is based on their speech. An intent parser usually takes the output of a Speech to Text (STT) engine as an input.
For example, Julie Speaks the following to Mycroft:
Hey Mycroft, tell me about the weather
Julie's intent is to find out about the weather (probably in her current location).
An intent parser can then match the intent with a suitable Skill to handle the intent.
Adapt intent parser: Adapt is the default intent parser for all Mycroft platforms. Adapt was developed by Mycroft and is available under an open source license.
Padatious: Padatious is a neural network based intent parser. Padatious is currently under active development by Mycroft and is available under an open source license. It is likely that some Mycroft platforms will switch to using Padatious in the future instead of Adapt.
Text to Speech (TTS) software takes written text, such as as in text files on a computer, and uses a voice to speak the text. Text to Speech can have different voices, dependenting on the TTS engine used.
Mimic: Mycroft's default text to speech (TTS) engine, based on CMU's Flite (Festival Lite)
In your home.mycroft.ai account, you can select several other TTS engines if you don't wish to use Mimic.
MaryTTS: you need to choose which voice to use
Google TTS: you need to choose which voice to use
FATTS: you need to choose which voice to use
The Mycroft middleware has two components:
Mycroft Core: this code, written in Python, is the core software that provides the 'glue' between other modules. Mycroft Core is available under an open source license.
Mycroft Home and Mycroft API: this is the platform where data on Users and Devices is held. This platform provides abstraction services, such as storing API keys that are used to access third-party services to provide Skill functionality. The code for this platform is not publicly available.
Mycroft Skills are like 'add-ons' or 'plugins' that provide additional functionality. Skills can be developed by Mycroft Developers, or by Community Developers, and vary in their functionality and maturity.
Mycroft Skills Management (msm) is a set of helper scripts that assist in the installation and management of Skills.
Mycroft is designed to run on many different platforms - called Devices, with different hardware, called Enclosures.
Mark 1 - a software image of Mycroft designed to be installed on the Mycroft Mark 1 - a reference hardware device
Picroft - a software image of Mycroft designed to be installed on Raspberry Pi 3
Android - a software image of Mycroft designed to be installed on Android devices