Speech Recognition with Twilio and Python

In this tutorial, we learn how to transcribe voice calls using Twilio and Python by combining it with the Deepgram Speech Recognition API. We first set up a virtual environment for our project and install necessary dependencies such as deepgram-sdk, twilio, python-dotenv, Flask, pysondb, and 'flask[async]'. Then we create a Flask application that runs without errors and set up an endpoint to handle incoming calls. We also store our environment variables in a .env file. Next, we implement the /recordings endpoint which uses Deepgram's speech-to-text feature to transcribe the audio of our call. We then add the utterances to the calls database. Finally, we create a /transcribe route and an index.html file that displays the phone speech-to-text transcript. After making a phone call and engaging in a conversation with the provided phone number, we can hang up and see the transcript appear in our browser. This project demonstrates how to build a speech-to-text Python application using Twilio and Deepgram.