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要在iOS應用中集成實時語音識別功能,可以使用蘋果的Speech框架。Speech框架提供了簡單易用的API,可以實現實時語音識別功能。以下是一個簡單的示例代碼,演示如何使用Speech框架實現實時語音識別功能:
import UIKit
import Speech
class ViewController: UIViewController, SFSpeechRecognizerDelegate {
@IBOutlet weak var transcriptionLabel: UILabel!
private let speechRecognizer = SFSpeechRecognizer(locale: Locale(identifier: "en-US"))
private var recognitionRequest: SFSpeechAudioBufferRecognitionRequest?
private var recognitionTask: SFSpeechRecognitionTask?
private let audioEngine = AVAudioEngine()
override func viewDidLoad() {
super.viewDidLoad()
speechRecognizer?.delegate = self
SFSpeechRecognizer.requestAuthorization { authStatus in
OperationQueue.main.addOperation {
if authStatus == .authorized {
try! self.startRecording()
}
}
}
}
func startRecording() throws {
if let recognitionTask = recognitionTask {
recognitionTask.cancel()
self.recognitionTask = nil
}
let audioSession = AVAudioSession.sharedInstance()
try audioSession.setCategory(.record, mode: .measurement, options: .duckOthers)
try audioSession.setActive(true, options: .notifyOthersOnDeactivation)
recognitionRequest = SFSpeechAudioBufferRecognitionRequest()
let inputNode = audioEngine.inputNode
guard let recognitionRequest = recognitionRequest else { fatalError("Unable to create recognition request") }
recognitionRequest.shouldReportPartialResults = true
recognitionTask = speechRecognizer?.recognitionTask(with: recognitionRequest) { result, error in
var isFinal = false
if let result = result {
self.transcriptionLabel.text = result.bestTranscription.formattedString
isFinal = result.isFinal
}
if error != nil || isFinal {
self.audioEngine.stop()
inputNode.removeTap(onBus: 0)
self.recognitionRequest = nil
self.recognitionTask = nil
try! self.startRecording()
}
}
let recordingFormat = inputNode.outputFormat(forBus: 0)
inputNode.installTap(onBus: 0, bufferSize: 1024, format: recordingFormat) { buffer, _ in
self.recognitionRequest?.append(buffer)
}
audioEngine.prepare()
try audioEngine.start()
transcriptionLabel.text = "Say something, I'm listening!"
}
func speechRecognizer(_ speechRecognizer: SFSpeechRecognizer, availabilityDidChange available: Bool) {
if available {
try! startRecording()
} else {
audioEngine.stop()
recognitionRequest?.endAudio()
}
}
}
在上面的示例代碼中,我們首先導入Speech框架,并在ViewController類中實現SFSpeechRecognizerDelegate協議。在viewDidLoad方法中,我們請求用戶授權訪問語音識別功能,并調用startRecording方法開始實時語音識別。
在startRecording方法中,我們首先創建一個SFSpeechAudioBufferRecognitionRequest對象,然后設置音頻輸入節點和回調函數,實時處理語音識別結果。在回調函數中,我們更新UI界面顯示語音識別的結果,并在識別完成或出現錯誤時重新開始識別。
最后,在speechRecognizer方法中,我們實現了SFSpeechRecognizerDelegate協議的availabilityDidChange方法,用于處理語音識別功能的可用性變化事件。當語音識別功能可用時,我們調用startRecording方法開始實時語音識別。
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