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Installing and configuring Snowboy

So we are not streming audio to Google 24/7, Snowboy provides offline speech recognition for trigger words (aka 'hotwords').

https://snowboy.kitt.ai/

Make a model

You need to create a 'model', a digital descrtiption of you saying your trigger word, before installing Snowboy. This can be done online in a matter of minutes.

  • Go to https://snowboy.kitt.ai/ and Log In (and register if needed)

  • Click 'Create Hotword'

  • Enter the name of the hotword (it can be anything but choose wisely!), the language and add any comments you would like.

  • Click 'Record my voice'

  • Follow the instructions and make three recordings of you speaking you hotword.

  • Once completed, click 'Test the voice'

  • You can now check the hotword is being recognised

  • When happy, click 'Save and Download'

  • A pdml (Personal Model) file will be downloaded to you local machine

  • If that machine is not your target Raspberry Pi, transfer the file to your home directory

Installation

On the Raspberry Pi, run the following commands (version correct at time of writing):

cd
wget https://s3-us-west-2.amazonaws.com/snowboy/snowboy-releases/rpi-arm-raspbian-8.0-1.1.1.tar.bz2
tar xvf rpi-arm-raspbian-8.0-1.1.1.tar.bz2
mv rpi-arm-raspbian-8.0-1.1.1 snowboy
sudo apt install python-pyaudio python3-pyaudio sox libpython2.7 libatlas-base-dev

You can now test your model (change the filename to match yours!):

cd ~/snowboy
python demo.py ~/computer.pmdl

Yes, that right, the demo.py doesn't work in Python 3 right now

When you say the hotword (and ideally nothing else), the console should respond with Keyword detected.

Create Python3 Version

For full transcription we'll need a Python 3 version. One is included with this repo. To create your own...

sudo apt install swig
git clone https://github.com/Kitt-AI/snowboy.git
cd snowboy/swig/Python3
make

The required files of snowboydetect.py and _snowboydetect.so can now be found in this directory. Replace the existing one and the demo will work with Python 3.