![]() Each item in this graph is called a node. Let’s fix that.ĪVFoundation allows you to build complicated graphs of audio pipelines. While our code is ready to classify, there is nothing to classify yet. Its initializer might return nil, or it might not be available for another reason, so we need to carefully validate whether we can use it or not before moving on. We start by creating an SFSpeechRecognizer. Steps 1 to 4 are in startRecording, 5 is in stopRecording. ![]() If we are recording, we stop it by calling stopRecording(). If we aren’t already recording, we start recording by calling startRecording() on self. To recap, the user can start speech recognition by pressing the button. The task of speech recognition is more complex than synthesis (is that true for humans too?) and requires some set up. Recognizing speechįirst things first, import Speech at the top of ViewController.swift. You can fix that by adding placeholders for these functions (both set to private). Xcode will probably complain that stopRecording and startRecording don’t exist yet. The reason we set sender to UIButton is so we can change values on the sender, which is Swifty-er, in my opinion, than accessing the outlet. ![]() This snippet utilizes the ternary operator, which is basically an inline if statement. We’ll implement a handler for each case next when we’re done building the UI. This is done through the SFSpeechRecognizer.requestAuthorization function, which returns an authStatus, possibly on a background thread.ĪuthStatus is an enum with the following cases: Next, we need to ask the user for permission. So if you’re planning on deploying this code, be extra careful. Furthermore, Apple is known to reject apps from app review if they don’t enter serious information here. Important note: Your app will not work if you do not add these two keys to your ist file. The key we need to access speech recognition is NSSpeechRecognitionUsageDescription.Įnter something like “We need access to the microphone to hear what you have to say.” You’ll also need to add NSMicrophoneUsageDescription along with a similar description. Like many of iOS’s privacy features, we need to add an entry to our ist file. Recall that this task is called “speech recognition.” Speech recognition will turn raw audio recorded from the microphone into a string we can use.īefore we can do anything with the user’s microphone though, or use the speech recognition API, we have to ask the user for permission to use these APIs. Now that our app can speak, let’s move on to the next part of our equation: making it listen. Speech recognition - Asking for permission I found 0.5 to be a really good value, but I’d encourage you to play with it yourself. ![]() The speed of the speech can be changed by modifying rate on utterance: utterance.rate = 0.5 Then we “speak” the utterance, which is printing, but on a speaker: AVSpeechSynthesizer.speak(utterance) You can compare this to a string, but in sound: let utterance = AVSpeechUtterance(string: "Hello from Heartbeat! How are you?") Then, in viewDidLoad, create an instance of AVSpeechUtterance. Start by importing it on the top of ViewController.swift: import AVFoundation The framework we’ll use for speech synthesis is AVFoundation, which, generally speaking, is a very low-level framework, but it also has some very nice speech synthesis APIs. The easier of the two tasks we’ll explore here is speech synthesis - making the app speak - which can be done in just two lines of code. In this tutorial, you’ll build an app that uses those APIs to speak and listen to you. Luckily, Apple’s speech synthesis and speech recognition APIs aren’t private - everyone has access to their cutting-edge technology. Speaking is formally known as “ speech synthesis” whereas listening is often referred to as “ speech recognition.” Although the tasks look very different in code, they have one thing in common: both are powered by machine learning. On top of that, the option for verbal communication enables visually impaired people to interact with your app.Īs you probably already know, Siri’s communication mechanism can be split up in two main components: speaking and listening. The combination of speech recognition and speech synthesis feels more personal than using a touch screen. Why? Because Siri provides a very fast and user-friendly way of interacting with an iOS device.Ĭonvenience is not the only motivation for this type of interaction, though. I am following this tutorial and tried to convert codes form Swift 2.0 to 3.0.Everyone knows Siri, and many people use it every day. ![]()
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