![]() ![]() Some of the imports are related to standing up a web server. It is going to be extremely useful for this project. It provides functions to perform audio encoding, decoding, and conversion. Many of these imports are well known packages that provide general support to the web server, but there are some notable imports that you may not be familiar with.įor example, the audioop module is a little known module that comes with the Python standard library. This server is going to do several things, so it needs to import a variety of modules. The following sections discuss the different sections of this file. In a bash or zsh session, you can configure these settings as follows: The most convenient way to define these configuration values is to set environment variables for them. To work with Twilio, the Python application needs to have access to your account credentials to authenticate. The directory structure of the project, including the Python virtual environment and the Vosk model, should match the following: Change the name of this top-level model folder to model. The contents of the zip file should all be inside a single folder. Extract the contents of the zip file you downloaded to the vosk-live-transcription directory. To test this project, I used the “ vosk-model-small-en-us-0.15” model for American English.Įach model comes as a zip file. The Vosk models page has models for many languages. To be able to transcribe audio, this engine needs to pass the incoming audio data through a model that has been trained for the intended language. The Vosk package installed in the previous section is just an engine. pyngrok: a Python wrapper for ngrok, a utility to temporarily make a server running on your computer publicly available.simple-websocket: a WebSocket server used by Flask-Sock.flask-sock: a WebSocket extension for Flask.vosk: a lightweight speech recognition engine.twilio: the Twilio helper library for Python.To keep things nicely organized, open a terminal or command prompt, find a suitable location, create a new directory where the project you are about to create will live, and navigate into the project directory: ![]() In this section, you are going to set up a brand new Python project. After you confirm your purchase, write down your new phone number and click the “Close” button. If you are using a trial account, this purchase uses your trial credit. If you’d like to request a number from your region, you can enter your area code prefix in the “Number” field.Ĭlick the “Search” button to see what numbers are available, and then click “Buy” for the number you like from the results. On the “Buy a Number” page, select your country and check “Voice” in the “Capabilities” field. Note that if you have a free account, you will be using your trial credit for this purchase. Log in to the Twilio Console, select “ Phone Numbers”, and then click on the “Buy a number” button to buy a Twilio number. This is the number that will receive the phone calls to transcribe. Your first task is to add a Twilio phone number to your account. You can review the features and limitations of a free Twilio account. If you are new to Twilio, click here to create a free account now and receive $10 credit when you upgrade to a paid account. If your operating system does not provide a Python interpreter, you can go to to download an installer. Once in your server, the audio stream will be passed to Vosk, a lightweight open-source speech recognition engine that runs locally on your computer, with support for many languages. The phone calls will be routed through a Twilio phone number, and we will use the Media Streams API to stream the incoming audio to a small WebSocket server built using Python. In this tutorial, you are going to learn how to implement live transcription of phone calls to text. ![]()
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