|Developer(s)||Mycroft AI team|
|License||Apache License |
Mycroft is a free and open-source software voice assistant that uses a natural language user interface. Its code was formerly copyleft, but is now under a permissive license. It is named after a fictional computer from 1966 science fiction novel The Moon Is a Harsh Mistress.
Inspiration for Mycroft came when Ryan Sipes and Joshua Montgomery were visiting the Kansas City makerspace, where they came across a simple and basic intelligent virtual assistant project. They were interested in the technology, but did not like its inflexibility. Montgomery believes that the burgeoning industry of intelligent personal assistance poses privacy concerns for users and has promised that Mycroft will protect privacy through its open source machine learning platform.
Mycroft AI, Inc., has won several awards including the prestigious Techweek's KC Launch competition in 2016. They were part of the Sprint Accelerator 2016 class in Kansas City and joined 500 Startups Batch 20 in February 2017. The company accepted a strategic investment from Jaguar Land Rover during this same time period. The company had raised more than $2.5 million from institutional investors before they opted to offer shares of the company to the public through StartEngine, an equity crowdfunding platform.
Mycroft voice stack
Mycroft provides free software for most parts of the voice stack.
Mycroft does Wake Word spotting, also called keyword spotting, through its Precise Wake Word engine. Prior to Precise becoming the default Wake Word engine, Mycroft employed PocketSphinx. Instead of being based on phoneme recognition, Precise uses a trained recurrent neural network to distinguish between sounds which are, and which aren't Wake Words.
Speech to text
Mycroft uses an intent parser called Adapt to convert natural language into machine-readable data structures. Adapt undertakes intent parsing by matching specific keywords in an order within an utterance. They also have a parser, Padatious. Padatious, in contrast, uses example-based inference to determine intent.
Text to speech
Modular design and interoperability
Its first hardware project was the Mark I, targeted primarily at developers. Its production was partially funded through a Kickstarter campaign, which finished successfully. Units started shipping out in April 2016.
Its most recent hardware project is the Mark II, intended for general usage, not just for developers. Unlike the Mark I, the Mark II is equipped with a screen, being able to relay information both visually as well as acoustically. As with the Mark I, the Mark II's production was partially funded through a Kickstarter campaign, which wrapped up in February 2018, hitting almost 8 times its original goal. In April 2020, the Mark II has not yet been delivered to crowd-funders.
Mycroft announced that a third hardware project, Mark III, will be offered through Kickstarter, and that an entire product line of Mark I, II, and III will be released to stores by November, 2019.
Mycroft has undertaken several commercial collaborations. In May 2018, the company partnered with WorkAround, an impact sourcing provider who broker work opportunities for refugees, to undertake bulk machine learning training. In October 2018, Mycroft collaborated with disease surveillance and forecasting company, SickWeather, to identify the frequency of coughing on public transport, funded by the City of Kansas City, Missouri.
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