The "phonetic_spellings.txt" mechanism converts odd words to strings that
represent what they should sound like when spoken. For example, "mycroftai"
to "Mycroft A.I.". This provides an easy mechanism to provide hints to
lots of Text to Speech engines.
This adds it to Mimic2, along with a spelling of "corgi".
This is a step towards abstracting the idea of an Enclosure which ties Mycroft to the hardware that is running Mycroft.
- Move the enclosure API to mycroft.enclosure.api (previously was mycroft.client.enclosure.api)
- Move display_manager out of enclosure client to mycroft.enclosure.display_manager
- Merge EnclosureWeather into EnclosureMouth
- Wrap display manager in a class
Numbers are now normalized to the text equivalent. This is to solve problems where mimic2 returns a speed up text generation when saying number values.
* added asynchronous request to mimic2 backend to break up audio into chunks
* add chracter threshold
* refactored split_by_punctuation
* add punctuation function to sentence chunks
* fix spelling
* some more spelling
* added mimic2 in mycroftconf
* removed unused imports
The Mark 1 button press can now be "consumed" when a skill handles
the Stop command. When this happens, the button press will not
trigger listening mode. An additional press would be needed to
trigger listening.
This introduces the "mycroft.stop.handled" messagebus message. It
carries a data field called "by" which identifies who handled it.
Currently the values are "TTS" for when speaking ends or the name
of a skill which implements Stop and returns True from the call.
Also fixed a potential bug when the flag to clear queued visemes
was left set after a button press.
- 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
The isSpeaking signal would only be generated when the actual audio playback
started, but this could be several seconds for TTS engines like Mimic which
take some time to generate the audio file for playback. This changes the
creation of the "isSpeaking" signal to the start of the execute() method,
which should queue up audio and leave the signal set until the queue has
eventually been cleared.
When the TTS engine provides visemes to the faceplate, the information
passed along consists of the mouth shape and the duration to display it.
When the system get backed-up for some reason (e.g. the CPU is briefly
overloaded), the code would attempt to catch up the animation but would
still send the 'expired' viseme across the serial port to the faceplate
with no wait-time. This results in a fast-moving mouth to catch up,
which isn't very pleasing.
Now the viseme is passed along with an expiration date, so if the time
to display it has already passed then the viseme code gets thrown away
instead of being sent across the (relatively slow) serial port. This
allows better catch-up.
==== Tech Notes ====
Since the playback now is performed in a thread the curate_cache could
clean out generated speech before or in the middle of playing back the
queue.
==== 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().
mpolidori
Michael Nguyen
Steve Penrod
Åke
Nolan Darilek
Steve Penrod
JarbasAI
Matthew D. Scholefield
Jarbas
Matthew D. Scholefield