xia*_*y23 2 c# speech-recognition
我目前正在开发DialerService的项目。功能之一是将记录的.wav媒体文件解释为纯文本。我使用了SpeechRecognitionEngine尝试解释内容，但得到的结果有些不正确，有时甚至是断句没有任何意义。
.wav文件是来自两个或多个客户之间的电话交谈的记录的文件，我测试的文件是我与同事进行的非常简单而简短的交谈。
所以我的问题是，如何才能提高解释的准确性，以及如何为此目的改进代码？我知道添加语法将有助于识别一些关键字，但是我需要的是一般性地解释我从用户那里记录的内容。
这里的打击是我的工作代码：
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.IO;
using System.Threading.Tasks;
using System.Speech.Recognition;
using System.Speech.AudioFormat;
using System.Web;
namespace VoiceRecognition
{
class Program
{
static bool completed;
static void Main(string[] args)
{
using (
SpeechRecognitionEngine recognizer =
new SpeechRecognitionEngine(
new System.Globalization.CultureInfo("en-US")))
{
// Create and load a grammar.
Grammar dictation = new DictationGrammar();
dictation.Name = "Dictation Grammar";
recognizer.LoadGrammar(new DictationGrammar());
recognizer.SetInputToWaveFile(@"C:\Projects2\VoiceRecognition2\conf_with_vincent_1.wav");
// Attach event handlers for the results of recognition.
//recognizer.AudioLevelUpdated += new EventHandler<AudioLevelUpdatedEventArgs>(recognizer_AudioLevelUpdated);
//recognizer.AudioStateChanged += new EventHandler<AudioStateChangedEventArgs>(recognizer_AudioStateChanged);
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();
recognizer.RecognizeAsync(RecognizeMode.Multiple);
// 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 Audio state event.
static void recognizer_AudioStateChanged(object sender, AudioStateChangedEventArgs e)
{
Console.WriteLine("The new audio state is: " + e.AudioState);
}
static void recognizer_AudioLevelUpdated(object sender, AudioLevelUpdatedEventArgs e)
{
Console.WriteLine("The audio level is now: {0}.", e.AudioLevel);
}
// 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;
}
}
}
另一类是：
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Speech.Recognition;
public class SpeechReconizer
{
SpeechRecognitionEngine _speechRecognitionEngine;
public SpeechReconitionResult ReadResult { get; set; }
public SpeechReconizer()
{
Grammar dictation = new DictationGrammar();
dictation.Name = "Dictation Grammar";
_speechRecognitionEngine = new SpeechRecognitionEngine();
_speechRecognitionEngine.SetInputToDefaultAudioDevice();
_speechRecognitionEngine.LoadGrammar(dictation);
_speechRecognitionEngine.InitialSilenceTimeout = TimeSpan.FromSeconds(3);
_speechRecognitionEngine.BabbleTimeout = TimeSpan.FromSeconds(2);
_speechRecognitionEngine.EndSilenceTimeout = TimeSpan.FromSeconds(1);
_speechRecognitionEngine.EndSilenceTimeoutAmbiguous = TimeSpan.FromSeconds(1.5);
_speechRecognitionEngine.RecognizeAsync(RecognizeMode.Multiple);
_speechRecognitionEngine.SpeechRecognized += RecognizerSpeechRecognized;
_speechRecognitionEngine.RecognizeCompleted += RecognizerRecognizeCompleted;
}
public SpeechReconitionResult ReadSpeech(string sourceAudio)
{
ReadResult = new SpeechReconitionResult();
_speechRecognitionEngine.SetInputToWaveFile(sourceAudio);
_speechRecognitionEngine.Recognize();
return ReadResult;
}
private void RecognizerSpeechRecognized(object sender, SpeechRecognizedEventArgs e)
{
if (e.Result != null && e.Result.Text != null)
{
ReadResult.Success = true;
ReadResult.Text = e.Result.Text;
}
else
{
ReadResult.Text = "Recognized text not available.";
}
}
private void RecognizerRecognizeCompleted(object sender, RecognizeCompletedEventArgs e)
{
if (e.Error != null)
{
ReadResult.Success = false;
ReadResult.ErrorMessage = string.Format("{0}: {1}",
e.Error.GetType().Name, e.Error.Message);
}
if (e.Cancelled)
{
ReadResult.Success = false;
ReadResult.ErrorMessage = "Operation cancelled.";
}
}
}
public class SpeechReconitionResult
{
public string Text { get; set; }
public bool Success { get; set; }
public string ErrorMessage { get; set; }
public bool Complete { get; set; }
}
测试结果是（在控制台中）：
Starting asynchronous recognition...
Recognized text = Helence and the globe or east
Recognized text = alarmed
Recognized text = and client thanks
Recognized text = what aren't going to do and that they
Recognized text = aren't goint to rule
Recognized text = working to dear E
Recognized text = N
Recognized text = at dinner
Recognized text = and
Recognized text = that going there
Recognized text = and you have a 98 no problem bars
End of stream encountered.
实际内容是：-您好Vincent。-你好鲍里斯。-你好吗？-我很好。-你今天打算做什么？我去看电视，吃晚饭，然后回家。-感谢您有一个愉快的一天。-没问题。
System.Speech.Recognition支持默认的Windows语音识别。它是为单个用户设计的，可以通过Windows语音识别培训由用户进行培训。
您可能想要的是Microsoft.Speech.Recognition库，该库旨在用于较低质量的音频。它的工作方式几乎相同，但是，它不是为听写而设计的。它用于检测来自电话质量音频的命令。如果您想试一试，可以在这里找到最新的版本：http : //www.microsoft.com/zh-cn/download/details.aspx?id=27226