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
1 maintainer
Release files for FSTA 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| FSTA-0.1.3.tar.gz | 8.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| FSTA-0.1.3-py2.7.egg | Legacy Egg format | - | - | Details |
Total release size:8.0 MB
Release files / FSTA-0.1.3.tar.gz
| Download URL | FSTA-0.1.3.tar.gz |
|---|---|
| Size | 8.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / FSTA-0.1.3-py2.7.egg
| Download URL | FSTA-0.1.3-py2.7.egg |
|---|---|
| Size | 26.8 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
19bcaff629e2fdbd10ad1c2fd00e9e53ee064e9f8f1457bd98388c2f22d2202a
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
