Adding ASR

1. Install Lucida localling

   • Refer to the Installing Local Lucida doc

2. Enforce the lucida host to be secure by attaching it to ssl certificates (this permits user input through the web page)

   • Generate a self signed certificate
     • Generate a private key
       $openssl genrsa -des3 -out server.key 1024
     • Generate a CSR
       $openssl req -new -key server.key -out server.csr
     • Remove Passphrase from key
       $cp server.key server.key.org
$openssl rsa -in server.key.org -out server.key
     • Generate self signed certificate
       $openssl x509 -req -days 365 -in server.csr -signkey server.key -out server.crt
   • Connect the certificate to the Flask app and the ASR websocket
     • Flask app in /lucida/commandcenter/app.py add ssl_context:
       app.run('0.0.0.0', port=3000, debug=True, use_reloader=False, threaded=True, ssl_context=('<path to server.crt>', '<path to server.key>'))
     • ASR websocket in /lucida/commandcenter/app.py add ssl_options:
       WebSocket.Application().listen(8081, ssl_options={“certfile”:”<path to server.crt>”, “keyfile”:“<path to server.key>”})

3. Change the host calls to secure

   • In /lucida/commandcenter/controllers/Infer.py change:
     options[‘asr_addr_port’] = ‘ws:localhost:8081’
     to
     options[‘asr_addr_port’] = ‘wss:<host IP addr>:8081’
   • In the ASR terminal run (this will start a worker for the websocket)
     $cd /speechrecognition/kaldi_gstreamer_asr/
$export GST_PLUGIN_PATH=$(pwd)/kaldi/tools/gst-kaldi-nnet2-online/src
$python kaldigstserver/worker.py -u wss://<host IP addr>:8081/worker/ws/speech -c sample_english_nnet2.yaml
   • Wait until you see Opened websocket connection to server from the worker.