FSTA Lib Fred Speech To Actions lib

Based on snowboy hotword detection (https://snowboy.kitt.ai/)
And cloud API like google speech API, Bing speech API, or ...

Hardware :
	- Raspberry Pi (or other linux based device)
	- un good microphone (ie PS3 eye)
	- optional a matrix led max7219
	- a lot of iot (tv, ampli, RF-switch, lamp, garage door, ESP8266, arduino...

Software :
	- lib FUTIL
	- snowboy decoder update here : http://docs.kitt.ai/snowboy/#downloads
	- python
	- optional mqtt server (like mosquitto)
	- optional node-RED

Installation : pip install FSTA (create a /opt/FSTA directory for main program)

Configuration : change config.py

automatisation (jessie) : sudo systemctl enable maison.service

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
FSTA.egg-info		FSTA.egg-info
FSTA		FSTA
build/lib.linux-armv7l-2.7/FSTA		build/lib.linux-armv7l-2.7/FSTA
dist		dist
resources		resources
.gitattributes		.gitattributes
.gitignore		.gitignore
.log		.log
MANIFEST.in		MANIFEST.in
README.md		README.md
_config.py		_config.py
_snowboydetect.so		_snowboydetect.so
config.py		config.py
config.pyc		config.pyc
config_old.py		config_old.py
main.log		main.log
main.py		main.py
maison.service		maison.service
maison.sh		maison.sh
mqtt_speak.log		mqtt_speak.log
mqtt_speak.py		mqtt_speak.py
mqtt_speak.pyc		mqtt_speak.pyc
mqtt_speak.service		mqtt_speak.service
mqtt_speak.sh		mqtt_speak.sh
requirements.txt		requirements.txt
setup.py		setup.py
snowboydecoder.py		snowboydecoder.py
snowboydecoder.pyc		snowboydecoder.pyc
snowboydetect.py		snowboydetect.py
snowboydetect.pyc		snowboydetect.pyc
test_reco.py		test_reco.py
text.wav		text.wav
tts.mp3		tts.mp3
tts2.mp3		tts2.mp3

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FSTA Lib Fred Speech To Actions lib

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