#Azure speech to text tutorial code#

The final route will receive all call lifecycle event data and acknowledge the receiving of the data.

It will also playback to the caller the original and translated messages.

The second route will receive the text and send it to the Azure Speech Translation API to translate it into a second language.

The incoming call route will handle taking in the caller's voice input and sending it to the Vonage API for text conversion.

This conversation was marked as resolved by NJalal7 We need to provide logic for each of these three routes that will control the way our application functions: Lastly, the third route is where all the event data for the lifecycle of the call is sent to. The second one is where the API will send the converted speech to text using the Vonage Automatic Speech Recognition feature. The first one is where the API sends an incoming call. The three GET requests enumerated in the server correspond to three unique webhooks from the Vonage Voice API. As a result, each package brought into your application is imported directly from its source: Deno, unlike NodeJS, does not use node_modules or another similar package management system. To use Opine, we need to import it at the top of our file. If you are familiar with ExpressJS, then the constructs in Opine will feel familiar. Opine is a minimalist framework made for Deno ported from ExpressJS. We are going to use Opine as our web framework for the server.

Within this file, we will instantiate an HTTP server, provide it with its routes, and control the flow of the application.

#Azure speech to text tutorial code#

In your preferred code editor, open up the server.ts file from the root directory that you created in the last step. Perform a similar action inside the data, services, and services/auth folders, executing touch to create the files shown in the directory tree above. Inside the root folder create server.ts and. Once you have created the root folder, change directory into it and create the data, services, and services/auth subfolders. It will look like this at the end:Įnter fullscreen mode Exit fullscreen modeįor this tutorial, we will call the root folder of the application, speech-translation-app, but you can name it whatever you would like. The first step is to create the folder structure for our application. Once you have all that taken care of, we can move on to begin our application implementation. To build this application, you will need several items before we can start implementing it: Tl dr If you would like to skip ahead and just run the app, you can find a fully working version on GitHub. In this tutorial we will be building utilizing the Microsoft Azure Speech Translation API. There are several possible providers we can integrate with to provide text translation. It allows us to both integrate only the external code we actually need and to give it only the runtime permissions we desire it to have. We are building using Deno as our runtime environment because Deno lets us build a server-side app in TypeScript with lightweight dependencies. If the newly translated text has an accompanying Vonage Voice available, that voice will be used.Speak back both the original English text and the newly translated text.Translate it into a randomly chosen language using Microsoft Azure.Convert that speech into text using Vonage ASR.Accept the speech said by the caller at the prompt.In this tutorial, we will build a voice application running on Deno that will:

Vonage recently released Automatic Speech Recognition (ASR) as a new feature on the Voice API, which is a great reason to build an entertaining new voice application to leverage this new capability!