convert wave file to Text format

Test

1. SpeechRecognitionEngine RecognitionEngine;
   
2. using (RecognitionEngine = new SpeechRecognitionEngine(new CultureInfo("en-US")))
   
3. {
   
4. RecognitionEngine.SetInputToWaveFile"D:/wav/test.wav");
   
5. 
   
6. //RecognitionEngine.RecognizeCompleted += new EventHandler<RecognizeCompletedEventArgs>(RecognitionEngine_RecognizeCompleted);
   
7. RecognitionEngine.LoadGrammar(new DictationGrammar());
   
8. RecognitionResult Result = RecognitionEngine.Recognize();
   
9. RecognitionEngine.RecognizeAsync(RecognizeMode.Single);
   
10. 
    
11. StringBuilder Output = new StringBuilder();
    
12. foreach (RecognizedWordUnit Word in Result.Words)
    
13. {
    
14. Output.Append(Word.Text + " ");
    
15. }
    
16. 
    
17. // RecognitionEngine.RecognizeAsyncStop();
    
18. 
    
19. lbl_result.Text = Output.ToString();
    
20. 
    
21. RecognitionEngine.Dispose();
    
22. //Dispose();

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i tried using Dispose method also but no use.
how to solve this pbm. And the output should be as it is on the given wave file,because it shows wrong output some words are correct and some incorrect. is there anyway to get the exact output .                                                                                               

Test

Recently, I had a project where I needed to convert some audio to text. It took a bit more googling than I was used to in order to find the code, so I went ahead and whipped up a project that demonstrates its usage, so people can more easily find it.
This code uses the .NET System.Speech namespace and demonstrates how to transcribe audio using either a microphone or a previously created .wav file using C#.
The code can be divided into 2 main parts:

• configuring the SpeechRecognitionEngine object (and its required elements)
• handling the SpeechRecognized and SpeechHypothesized events.
  

Step 1: Configuring the SpeechRecognitionEngine

1. 
   
2. 
   
3. _speechRecognitionEngine = new SpeechRecognitionEngine();
   
4. _speechRecognitionEngine.SetInputToDefaultAudioDevice();
   
5. _dictationGrammar = new DictationGrammar();
   
6. _speechRecognitionEngine.LoadGrammar(_dictationGrammar);
   
7. _speechRecognitionEngine.RecognizeAsync(RecognizeMode.Multiple);

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At this point your object is ready to start transcribing audio from the microphone. You need to handle some events though, in order to actually get access to the results.
Step 2: Handling the SpeechRecognitionEngine Events

1. _speechRecognitionEngine.SpeechRecognized -= new EventHandler(SpeechRecognized);
   
2. _speechRecognitionEngine.SpeechHypothesized -= new EventHandler(SpeechHypothesizing);
   
3. 
   
4. _speechRecognitionEngine.SpeechRecognized += new EventHandler(SpeechRecognized);
   
5. _speechRecognitionEngine.SpeechHypothesized += new EventHandler(SpeechHypothesizing);
   
6. 
   
7. private void SpeechHypothesizing(object sender, SpeechHypothesizedEventArgs e)
   
8. {
   
9. ///real-time results from the engine
   
10. string realTimeResults = e.Result.Text;
    
11. }
    
12. 
    
13. private void SpeechRecognized(object sender, SpeechRecognizedEventArgs e)
    
14. {
    
15. ///final answer from the engine
    
16. string finalAnswer = e.Result.Text;
    
17. }

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That’s it.  If you want to use a pre-recorded .wav file instead of a microphone, you would use

1. _speechRecognitionEngine.SetInputToWaveFile(pathToTargetWavFile);

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instead of

1. _speechRecognitionEngine.SetInputToDefaultAudioDevice();

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There are a bunch of different options in these classes and they are worth exploring in more detail.  This covers the bare essentials for a prototype.  I have attached a full example and encapsulation here. or