* Remove the old single viseme message
Instead a single viseme message is sent
* Correct the spelling of viseme.
Ref: https://en.wikipedia.org/wiki/Viseme
* Remove debug print.
This was probably left in by mistake, removing to clean up the audio log somewhat.
- Engines now specify if they support ssml rather than the configuration
- The text client strips out ssml tags
- Engines can modify tags via the `self.modify_tag` method
Add Python 2/3 compatibility
==== Tech Notes ====
This allows the main bus, skills and cli to be run in both python 2.7 and
3.5+.
Mainly trivial changes
- syntax for exceptions
- logic for importing correct Queue module
- .iteritems -> future.utils.iteritems when accessing dicts key value
pairs
* Allow audio service to be run in python 3
* Make speech client work with python 3
* Importing of Queue version dependent
* Exception syntax corrected
* Creating sound buffer is version dependant
- Adapt context use range from builtins
- Use compatible next() instead of .next() when walking the skill
directory
* Make CLI Python 3 Compatible
- Use compatible BytesIO instead of StringsIO
- Open files as text instead of binary
- Make sure integer divisions are used
* Make messagebus send compatible
* Fix failing travis
Re-add future 0.16.0
* Make string checks compatible
* basestring doesn't exist in python 3 so it's imported from the "past"
* Fix latest compatibility issues in speech client
- handle urllib
- handle encoding before calling md5
* Make Api.build_json() python 2/3 compatible
==== Tech Notes ====
Since the voice is a quite large download stalling download is a real
possibility. Using wget allows for resume and retry of download in a
simple way.
==== Tech Notes ====
- Using download utility to download voice binary
- reverts to default voice if not premium
- uses default voice during download and switches over when done
This commit officially switches the mycroft-core repository from
GPLv3.0 licensing to Apache 2.0. All dependencies on GPL'ed code
have been removed and we have contacted all previous contributors
with still-existing code in the repository to agree to this change.
Going forward, all contributors will sign a Contributor License
Agreement (CLA) by visiting https://mycroft.ai/cla, then they will
be included in the Mycroft Project's overall Contributor list,
found at: https://github.com/MycroftAI/contributors. This cleanly
protects the project, the contributor and all who use the technology
to build upon.
Futher discussion can be found at this blog post:
https://mycroft.ai/blog/right-license/
This commit also removes all __author__="" from the code. These
lines are painful to maintain and the etiquette surrounding their
maintainence is unclear. Do you remove a name from the list if the
last line of code the wrote gets replaced? Etc. Now all
contributors are publicly acknowledged in the aforementioned repo,
and actual authorship is maintained by Github in a much more
effective and elegant way!
Finally, a few references to "Mycroft AI" were changed to the correct
legal entity name "Mycroft AI Inc."
==== Fixed Issues ====
#403 Update License.md and file headers to Apache 2.0
#400 Update LICENSE.md
==== Documentation Notes ====
Deprecated the ScheduledSkill and ScheduledCRUDSkill classes.
These capabilities have been superceded by the more flexible MycroftSkill
class methods schedule_event(), schedule_repeating_event(), update_event(),
and cancel_event().
* BUGFIX: The big bug was calling is_paired() during wake_word_in_audio(). When not paired, that call hit the server, taking about a second. Since it happened multiple times a second, the audio buffers got backed up hugely. This resulted in weird behavior later as the buffers get cleared out.
* Added mycroft.api.has_been_paired(), which just looks for the pairing key (it does not validate it is still active with the server, like is_paired())
* The enclosure now checks for internet connectivity and kicks off the wifisetup process, not the wifisetup client itself.
* During the "onboarding" process, the microphone is muted using the new "mycroft.mic.mute" message. After pairing completes, the "mycroft.mic.unmute" is expected to be sent from the pairing skill. Unmuting again after a re-pairing is harmless.
* mute_and_speak() is smart enough to not unmute itself when complete if muted before
* util.check_for_signal() now accepts -1 as the lifetime. This means it never times out.
* util.stop_speaking() is more intelligent about shutting down the spoken text (including text that has been split at periods) and visemes
* Added a mycroft.api.is_paired() method
* Added mycroft.util.is_speaking and mycroft.util.wait_while_speaking() methods
* RESET now waits for the spoken notice to complete
* Stopped the "Checking for updates" and "Skills updated" prompts (commented out for now, probably will eliminate)
* Wifi setup filters out hidden ("x00") networks
* Visemes should keep up better if they get behind (will skip)
* Mimic is now searched for on the users path
* Onboarding process:
- wifi setup starts automatically
- User is walked through the process
- wake word and button pressing are ignored
- At end, a short tutorial is given
The TTS audio is now cached. If the same TTS is requested again, the cached WAV and phoneme sequence is reused.
Major points:
* Created mycroft.util.get_cache_directory(). You can give this a domain, also. The mycroft.conf can define where this directory resides, so enclosures can have this reside on a ramdisk, for instance.
* Created mycroft.util.curate_cache(). This retains a percentage of the disk size free.
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
Åke Forslund
Matthew D. Scholefield
Jarbas
penrods
Matthew D. Scholefield
Jonathan D'Orleans
Arron Atchison
Ryan Sipes
Leo Arias