MS Speech Platform 11识别器是否支持ARPA编译的语法?

回答你的问题

MS Speech Platform 11识别器是否支持ARPA编译 语法?

答案是肯定的。

文化/语法/波形 . 我不知道你的完整代码,但根据我的测试和演示代码,我猜根本原因是我们需要处理 演讲稿 在我们这边,你可能还没有做到。

static bool completed;

        static void Main(string[] args)  
        {
            // Initialize an in-process speech recognition engine.  
            using (SpeechRecognitionEngine recognizer =
               new SpeechRecognitionEngine(new CultureInfo("en-us")))
            {

                // Create and load a grammar.   
                Grammar dictation = new Grammar("stock.cfg");
                dictation.Name = "Dictation Grammar";

                recognizer.LoadGrammar(dictation);

                // Configure the input to the recognizer.  
                recognizer.SetInputToWaveFile("test.wav");

                // Attach event handlers for the results of recognition.  
                recognizer.SpeechRecognized +=
                  new EventHandler<SpeechRecognizedEventArgs>(recognizer_SpeechRecognized);
                recognizer.RecognizeCompleted +=
                  new EventHandler<RecognizeCompletedEventArgs>(recognizer_RecognizeCompleted);

                // Perform recognition on the entire file.  
                Console.WriteLine("Starting asynchronous recognition...");
                completed = false;
                recognizer.RecognizeAsync();

                // Keep the console window open.  
                while (!completed)
                {
                    Console.ReadLine();
                }
                Console.WriteLine("Done.");
            }

            Console.WriteLine();
            Console.WriteLine("Press any key to exit...");
            Console.ReadKey();
        }

        // Handle the SpeechRecognized event.  
        static void recognizer_SpeechRecognized(object sender, SpeechRecognizedEventArgs e)
        {
            if (e.Result != null && e.Result.Text != null)
            {
                Console.WriteLine("  Recognized text =  {0}", e.Result.Text);
            }
            else
            {
                Console.WriteLine("  Recognized text not available.");
            }
        }

        // Handle the RecognizeCompleted event.  
        static void recognizer_RecognizeCompleted(object sender, RecognizeCompletedEventArgs e)
        {
            if (e.Error != null)
            {
                Console.WriteLine("  Error encountered, {0}: {1}",
                e.Error.GetType().Name, e.Error.Message);
            }
            if (e.Cancelled)
            {
                Console.WriteLine("  Operation cancelled.");
            }
            if (e.InputStreamEnded)
            {
                Console.WriteLine("  End of stream encountered.");
            }
            completed = true;
        }

股票会涨吗

更多信息: https://docs.microsoft.com/en-us/dotnet/api/system.speech.recognition.speechrecognitionengine.setinputtowavefile?redirectedfrom=MSDN&view=netframework-4.7.2#System_Speech_Recognition_SpeechRecognitionEngine_SetInputToWaveFile_System_String_

What is the difference between System.Speech.Recognition and Microsoft.Speech.Recognition?

系统语音(桌面版)

seiya1223's answer . 这里的示例代码非常有效。

Microsoft.Speech (服务器版本)

可能是因为服务器版本不包含“听写引擎”,所以微软.演讲图书馆显然永远不会 比赛 一个ARPA来源的CFG。然而,它仍然会 假设 通过电话说了什么 SpeechRecognitionRejected

1. 将using语句从系统语音至微软.演讲,当然。
2. 为 SpeechRecognition拒绝
3. 在事件处理程序中,检查 e.Result.Text 最终假设的属性。

以下代码段应该有助于说明:

static string transcription;

static void Main(string[] args)  
{
  using (var recognizer = new SpeechRecognitionEngine(new CultureInfo("en-us")))
  {
    engine.SpeechRecognitionRejected += SpeechRecognitionRejectedHandler;
    // ...
  }
}

void SpeechRecognitionRejectedHandler(object sender, SpeechRecognitionRejectedEventArgs e)
{
  if (e.Result != null && !string.IsNullOrEmpty(e.Result.Text))
    transcription = e.Result.Text;
}

此处理程序在识别结束时调用一次。例如,这里是seiya1223代码的输出,但是使用了所有可用的事件处理程序和一堆额外的日志(重点是我的):

正在启动异步识别。。。


在Speech假想处理程序中:


-语法名称=股票;结果文本=遗嘱

-语法名称=股票;结果文本=股票
在Speech假想处理程序中:

在Speech假想处理程序中:

在SpeechRecognitionRejectedHandler中:
-语法名称=股票;结果文本=股票会上涨吗

-AudioPosition=00:00:03.2000000;InputStreamEnded=True