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realtime-translator

This application demonstates the use of the jambonz dub verb to create an application where each party on the call is receiving two distinct audio tracks:

  • one from the remote party
  • one from a translator that is listening in on the call

The scenario is intended to mimic a contact center staffed with English-speaking agents would use the services of an automated translator to handle calls from Vietnamese-speaking callers

Install

This is a jambonz Node.js websocket application that uses environment variables to configure the choice of languages. Additionally, you will need a google json key file to use the google translate service.

The example below starts the application listening on port 3000 with languages set according to the scenario described above.

npm ci

WS_PORT=3000 \
GOOGLE_APPLICATION_CREDENTIALS='path-to-your-key.json' \
CALLER_LANGUAGE_NAME='Vietnamese' \
CALLER_LANGUAGE_CODE='vi-VN' \
CALLER_TTS_VENDOR='microsoft' \
CALLER_TTS_VOICE='vi-VN-NamMinhNeural' \
CALLER_STT_VENDOR='microsoft' \
CALLED_LANGUAGE_NAME='English' \
CALLED_LANGUAGE_CODE='en-US' \
CALLED_TTS_VENDOR='microsoft' \
CALLED_TTS_VOICE='en-US-AndrewMultilingualNeural' \
CALLED_STT_VENDOR='deepgram'
npm start

On the jambonz server, create an application with url wss://jambonz-apps.drachtio.org/translator.

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An automated translator sits on a call and provides real-time translation

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