记录c#实现语音转文字的方式（无网络接口）

记录c#实现语音转文字的方式（无网络接口） whisper.net C#使用微软的Speech.Recognition库实现语音识别转文字

using System;
using System.Speech.Recognition;

class Program
{
    static void Main()
    {
        // 创建语音识别引擎
        SpeechRecognitionEngine recognizer = new SpeechRecognitionEngine();

        // 配置语法
        Choices commands = new Choices();
        commands.Add(new string[] { "hello", "open notepad", "close notepad", "exit" });
        GrammarBuilder grammarBuilder = new GrammarBuilder(commands);
        Grammar grammar = new Grammar(grammarBuilder);

        // 将语法添加到识别引擎
        recognizer.LoadGrammar(grammar);

        // 设置事件处理程序来处理识别结果
        recognizer.SpeechRecognized += new EventHandler<SpeechRecognizedEventArgs>(recognizer_SpeechRecognized);

        // 启动语音识别
        recognizer.SetInputToDefaultAudioDevice();
        recognizer.RecognizeAsync(RecognizeMode.Multiple);

        Console.WriteLine("Listening for commands. Press Enter to exit.");
        Console.ReadLine();

        // 停止识别并释放资源
        recognizer.RecognizeAsyncStop();
        recognizer.Dispose();
    }

    private static void recognizer_SpeechRecognized(object sender, SpeechRecognizedEventArgs e)
    {
        if (e.Result != null && e.Result.Confidence > 0.6)
        {
            string recognizedText = e.Result.Text;
            Console.WriteLine("Recognized: " + recognizedText);

            // 在此处可以根据 recognizedText 执行相应的操作
            // 例如，执行命令、触发事件等
        }
    }
}

using System.Speech.Recognition;

static SpeechRecognitionEngine speechRecognition = new SpeechRecognitionEngine();//创建语言识别对象
static void Main(string[] args)
{
    
    Choices choices = new Choices();//创建选择
    choices.Add(new string[] { "你好", "谢谢" });//添加要监听、识别的词组
    GrammarBuilder gb = new GrammarBuilder();//语法构建
    gb.Append(choices);//加载选择
    Grammar gr = new Grammar(gb);//创建语法
    speechRecognition.LoadGrammarAsync(gr);
    speechRecognition.SetInputToDefaultAudioDevice();
    speechRecognition.SpeechRecognized += speechRecognition_response;
    speechRecognition.RecognizeAsync(RecognizeMode.Multiple);//启动
    Console.ReadLine();
}
public static void speechRecognition_response(object sender, SpeechRecognizedEventArgs e)
{
    //识别到语法里的词组、则进入函数
    switch (e.Result.Text)//判断识别到的词组是哪个
    {
        case "你好":
            Console.WriteLine("你好");
            break;
        case "谢谢":
            Console.WriteLine("谢谢");
            break;
    }
 
}
 

在C#中创建一个简单的本地语音转文字API，可以使用Windows自带的语音识别功能。以下是一个基于Windows Speech API 3.0的示例代码。

首先，确保安装了语音识别引擎，在控制面板的“语言”选项中安装。

然后，在项目中添加对 System.Speech 的引用。

以下是一个简单的语音识别器类：

using System;
using System.Speech.Recognition;
using System.Speech.Synthesis;
 
public class SpeechToTextConverter
{
    public event Action<string> TextReceived;
 
    private SpeechRecognizer recognizer;
    private SpeechSynthesizer synthesizer;
 
    public SpeechToTextConverter()
    {
        recognizer = new SpeechRecognizer();
        recognizer.SetInputToDefaultAudioDevice();
        recognizer.RecognizeAsync(RecognizeMode.Synchronous);
        recognizer.SpeechRecognized += Recognizer_SpeechRecognized;
 
        synthesizer = new SpeechSynthesizer();
    }
 
    private void Recognizer_SpeechRecognized(object sender, SpeechRecognizedEventArgs e)
    {
        string text = e.Result.Text;
        TextReceived?.Invoke(text);
    }
 
    public void StartListening()
    {
        recognizer.RecognizeAsync(RecognizeMode.Multiple);
    }
 
    public void StopListening()
    {
        recognizer.UnloadAllGrammars();
        recognizer.Dispose();
    }
 
    public void Speak(string text)
    {
        synthesizer.Speak(text);
    }
}

SpeechToTextConverter converter = new SpeechToTextConverter();
 
// 启动监听
converter.StartListening();
 
// 当有文字时触发
converter.TextReceived += (text) =>
{
    Console.WriteLine("You said: " + text);
};
 
// 合成语音
converter.Speak("Hello, how are you?");
 
// 停止监听
converter.StopListening();

【Paddle实战】基于PaddleSpeech搭建私人录音转文字服务 FunASR语音识别快速上手指南 FunASR Windows本地部署（语音转文字）