Transcribe Twilio Phone Calls in Real-Time with AssemblyAI | JavaScript WebSockets Tutorial | Summary and Q&A

TL;DR

Learn how to transcribe phone calls in real-time by streaming the data through Twilio and Assembly AI using websockets.

Key Insights

• 📣 Real-time phone call transcription can be achieved by streaming the phone call data through websockets.
• 🍵 Twilio and Assembly AI are used together to handle the streaming and transcription processes.
• 🛟 The server setup involves using the 'ws' package for websockets and the 'express' package for the web server.
• 👨‍🦱 ngrok is a useful tool for creating a public URL to make the local server accessible to external services.
• ⌛ Transcription data can be displayed in real-time on a website by using websockets to update the HTML content.
• 📣 TwiML is used to configure the Twilio response and start the streaming of the phone call data.
• ⌛ The Assembly AI API is used for real-time transcription of the streamed phone call data.

Transcript

hello are you there listen i have an important message for you my flight will arrive tomorrow at 2pm and i need someone who can pick me up at the airport can you do this for me please call me back bye hi everyone i'm patrick and in this video you will learn how you can transcribe your phone calls in real time for this we have to do two steps first ... Read More

Questions & Answers

Q: How does the real-time phone call transcription process work?

The process involves using Twilio to stream the phone call data to the server via websockets. The server then sends the data to Assembly AI for transcription in real-time. The transcribed text can be displayed on a website.

Q: What packages are required for setting up the server and websocket connection?

The video demonstrates the use of the 'ws' package for websockets and the 'express' package for the web server. These packages can be installed using npm.

Q: How is the websocket connection established and handled?

The websocket connection is established using the 'ws' package in the server setup. The 'wss.on('connection', ...)' event is used to handle the websocket connection. Currently, it logs a message indicating a successful connection.

Q: How is the TwiML response set up to start streaming the phone call?

The TwiML response is set up to start streaming the phone call data to the websocket endpoint. The response instructs Twilio to start a stream to the specified websocket address.

Q: How is the server made accessible through a public URL?

The ngrok tool is used to create a public URL that points to the localhost server. This allows Twilio to send post requests to the server endpoint.

Q: How is the transcription data handled and displayed on a website?

The transcription data received from Assembly AI is stored in a dictionary with the start time of each audio sample as the key. The data is sorted, concatenated, and sent to the websocket client. On the website, the text is displayed by listening for websocket messages and updating the HTML content.

Summary & Key Takeaways

• The video demonstrates how to set up a system to transcribe phone calls in real-time using websockets.

• The process involves streaming phone calls through Twilio and sending the data to Assembly AI for transcription.

• Websockets are used to facilitate the real-time streaming of the phone call data.

• A web server is set up using Express, and a websocket connection is established to handle the communication with Twilio and Assembly AI.