previously the listner's behavior would be influenced by the buffer size. Now, however, it is not since the noise is increased by a factor of the seconds per buffer.
* added mouth spelling
* spell word after talking
* removed speech to test
* test
* re-added speech
* used emitter
* mycroft/skills/spelling/__init__.py
* emitters 102: intermediate emitters
* emitters 103: importing the right method
* trying enclosure methods
* more fixing
* sorry slack
* added brief pause
* added api listener method
* fixed syntax
* further edited syntax
* slightly changed syntax
* added brief pause before listener reactivation
* changed ordering
* testing method
* further tests
* test test test
* logger
* further logger
* altered logic
* i really need to fork
* more debug
* changed boolean logic
* more debug
* fixed it??
* added brief pause again
* final commit
* test
* test
* fixed it
* sleep
* more testing
* stuff
* added constants:
* pep8
I'm not quiet sure where the session_id was ever used when emitted in the payload however just to be safe I kept it in there. This is to be sure there are no differences between the old and new listener that could be causing Cerberus problems.
* added volume control in enclosure.py
* fixed syntax for skill method usage
* addressing a problem with the enclosure service
* trying to use intents
* oops
* fixed pep8
* fixed issue with reversed volume controls
* changed enclosure version number to reflect updated enclosure code
1. To prevent many of the listener "dead state" (avoiding unwanted exceptions to break the loop)
2. Wake up must work for both "mycroft wake up" and "wake up mycroft"
3. To ensure "mycroft" keyword is always detected when it exists
4. To rely on "mycroft" instead of "hey mycroft"
5. To process "ok", "okay" and "allright" as part of the wake word detection
Some of the possible test cases:
1. wake up mycroft with: "mycroft wake up" and "wake up mycroft"
- it must wake up no matter the position of the "wake up" keyword
- it must always say it's awake at the first time (before, it'd only say it the second time you try to wake up)
2. try "okay mycroft, what's the weather in lawrence" and similar requests with "alright"
- this ensures we ignore "okay" and "alright" on the sentence
3. "mycroft" keyword should be detected as much as possible even if the sentence does not trigger a real skill/action
- that means the wake word detection is working
4. try all of those from close distance to the unit
- this ensures the changes are working
5. try all of those from a far distance to the unit
- to test the auto gain mic (for those who have one)
The 1980s birthed a new form of interaction between computers and users. For the first time computers became capable of understanding the most basic form of human communication - pointing and grunting. The mouse and the GUI revolutionized computing and made computers accessible to the masses.
We have now entered a third era. We are rapidly approaching a time when computer systems will understand human language and respond using the most natural form of human communication – speech.
This is an important development. Some might even call it revolutionary.
Despite its importance, however, the technologies that will underpin this new method of interaction are the property of major tech firms who don't necessarily have the public's best interests at heart.
Not anymore.
Meet Mycroft – the worlds first open source natural language platform. Mycroft understands human language and responds with speech. It is being designed to run on anything from a phone to an automobile and will change the way we interact with open source technologies in profound ways.
Our goal here at Mycroft is to improve this technology to the point that when you interact with the software it is impossible to tell if you are talking to a human or a machine.
This initial release of the Mycroft software represents a significant effort by the Mycroft community to give the open source world access to this important technology. We are all hoping that the software will be useful to the public and will help to usher in a new era of human machine interaction.
Our community welcomes everyone to use Mycroft, improve the software and contribute back to the project. With your help and support we can truly make Mycroft an AI for everyone.
Joshua W Montgomery – May 17, 2016
Arron Atchison
Matthew Scholefield
isaacnward
Ryan Sipes
Jonathan D'Orleans
Jonathan D'Orleans
Sean Fitzgerald
Leo Arias