UIKit中如何在UIKit應用中實現語音識別功能

在UIKit應用中實現語音識別功能，可以使用Speech框架來實現。以下是實現語音識別功能的步驟：

1. 導入Speech框架：

import Speech

2. 請求用戶授權使用語音識別功能：

private let speechRecognizer = SFSpeechRecognizer(locale: Locale(identifier: "en-US"))

func requestSpeechAuthorization() {
    SFSpeechRecognizer.requestAuthorization { authStatus in
        if authStatus == .authorized {
            // 用戶已授權使用語音識別功能
        } else {
            // 提示用戶授權語音識別功能
        }
    }
}

3. 開始語音識別：

func startSpeechRecognition() {
    let audioSession = AVAudioSession.sharedInstance()
    do {
        try audioSession.setCategory(.record)
        try audioSession.setMode(.measurement)
        try audioSession.setActive(true, options: .notifyOthersOnDeactivation)
    } catch {
        print("Audio session setup error: \(error.localizedDescription)")
    }

    let recognitionRequest = SFSpeechAudioBufferRecognitionRequest()
    let recognitionTask = speechRecognizer?.recognitionTask(with: recognitionRequest) { result, error in
        guard let result = result else {
            print("Speech recognition error: \(error?.localizedDescription ?? "Unknown error")")
            return
        }

        if result.isFinal {
            let bestTranscription = result.bestTranscription
            print("Recognized speech: \(bestTranscription.formattedString)")
        }
    }

    let audioEngine = AVAudioEngine()
    let inputNode = audioEngine.inputNode
    let recordingFormat = inputNode.outputFormat(forBus: 0)
    inputNode.installTap(onBus: 0, bufferSize: 1024, format: recordingFormat) { buffer, time in
        recognitionRequest.append(buffer)
    }

    audioEngine.prepare()
    do {
        try audioEngine.start()
    } catch {
        print("Audio engine start error: \(error.localizedDescription)")
    }
}

4. 停止語音識別：

func stopSpeechRecognition() {
    audioEngine.stop()
    recognitionRequest.endAudio()
}

通過以上步驟，您就可以在UIKit應用中實現語音識別功能了。