Android App Development
iOS App Development
Flutter App Development
Cross Platform App Development
Hire on-demand project developers and turn your idea into working reality.
Big thanks to Webkul and his team for helping get Opencart 220.127.116.11 release ready!
Updated 26 October 2021
Apple introduced the Speech framework, a useful API for speech recognition. In fact, Speech Kit is the framework which Siri uses for speech recognition.
There are a handful of speech recognition frameworks available today, but they are either very expensive or simply not as good. In this tutorial, I will show you how to create a Siri-like app for speech to text using Speech Kit.
To use the Speech framework, you have to first import it and adopt the SFSpeechRecognizerDelegate protocol. So let’s import the framework, and add its protocol to the AudioDetectionViewController class. Now your AudioDetectionViewController.swift should look like this:
Before using the speech framework for speech recognition, you have to first ask for user’s permission because the recognition doesn’t happen just locally on the iOS device but Apple’s servers.
All the voice data is transmitted to Apple’s backend for processing. Therefore, it is mandatory to get the user’s authorization.
Let’s authorize the speech recognizer in the viewDidLoad method. The user must allow the app to use the input audio and speech recognition. First, declare a speechRecognizer variable:
Apple requires all the authorizations to have a custom message from the app. In the case of speech authorization, we must authorize two things one is Microphone usage and another is Speech Recognition.
To customize the messages, you must supply these custom messages through the info.plistfile.
Let’s open info.plist file of the project. First, right click on info.plist. Then Open As > Source Code. Finally, copy the following XML code and insert them before the </dict> tag.
After adding permission the app asks the user to give permission like this.
In case of when the user does not stop recording and switch to another screen.
Now we have to create a new function called startRecording() that handles the speech and translate into the text.
You can do anything with recognized text in the below method:
Your email address will not be published. Required fields are marked*
Save my name email and website in this browser for the next time I comment.
Be the first to comment.
Enquiry or Requirement
If you have more details or questions, you can reply to the received confirmation email.