Working on introducing a new speaker recognition plugin type. This
plugin is to both recognize an individual and taylor responses to
them and improve speech recognition by training STT models to
individual speakers.

Added a default speaker recognizer, default_sr, which does not
attempt to identify the speaker but just responds with the first
name as stored in the profile.

I am also passing the result around from the sr_plugin to the
intent parser, to which the identity of the speaker can be
attached to the intent object being passed to the speechhandler.

I also simplified the list of parameters being passed to the mic
object when it is created, storing them instead in the profile.

There were numerous problems with the speech recognizer class that
made it not work when using the VOSK_sr plugin.

I am no longer trying to recognize the speaker when listening
passively for the wake word, only when doing the active listening.
This is because the passive listening needs to be very fast.

I am now putting the name of the identified user in parenthesis
after the active listening transcript. Plugins can access the
identity of the speaker as `intent.get('user', '')`. The only
plugin currently set up to use this is the shutdown plugin. I
also have an update to the Greetings plugin which greets you by
name when you greet Naomi.

The setup still assumes en-US when downloading the VOSK models,
which needs to be fixed to respect the "language" setting in the
profile.

The VOSK speaker recognition is not terribly accurate. It also
seems like you need to retrain your speaker recognition database
from new recordings when you switch to different recording
hardware.

Fixed some method signature mismatches from when I removed the
parameters from the mic methods. Fixed an issue preventing the
input device verification from working during initial setup or
repopulate. Changed the name of the "confidence" result from
speaker recognition to "distance" (since smaller numbers are
better). Clarified how to enter multiple email addresses in
notification client configuration, although I think that still
needs looked at. I think the safe email list is not being
stored as a list, and I think Naomi should only respond to email
addresses in that list, not to any email address if the list is
empty.

Added filenames for the default French and German models.
Constructed URLs and paths from these models to automatically
download and extract the model that matches the language choice
in profile.

The only thing it does not currently do is check whether or not
VOSK is also used as the STT engine. If not, then the audio
file pointer should be passed to the actual STT engine.

If the mic gets cut off when Naomi is listening, then the
mic.listen() method will return False rather than an sr_output
dictionary.