小例子，C#开发之kinect体感交互设备英文语音识别

using System;

using System.Collections.Generic;

using System.Linq;

using System.Text;

using System.IO;

using Microsoft.Kinect;

using Microsoft.Speech.AudioFormat;

using Microsoft.Speech.Recognition;

namespace KinectSpeech

{

class Program

{

static void Main(string[] args)

{

KinectSensor KinectSensor = (from k in KinectSensor.KinectSensors

where k.Status == KinectStatus.Connected

select k).FirstOrDefault();

if (KinectSensor == null)

{

Console.WriteLine("No Kinect Connected\n" + "Press any key to continue.\n");

Console.ReadKey(true);

return;

}

KinectSensor.Start();

KinectAudioSource audioSource = KinectSensor.AudioSource;
audioSource.EchoCancellationMode = EchoCancellationMode.None;
audioSource.AutomaticGainControlEnabled = false;

RecognizerInfo recognizerInfo = GetKinectRecognizer();
using (var speechRecognitionEngine = new SpeechRecognitionEngine(recognizerInfo.Id))
{
var colors = new Choices();
colors.Add("help");
colors.Add("green");
colors.Add("blue");

var grammatBuilder = new GrammarBuilder { Culture = recognizerInfo.Culture };
grammatBuilder.Append(colors);
var g = new Grammar(grammatBuilder);

speechRecognitionEngine.LoadGrammar(g);
speechRecognitionEngine.SpeechRecognized += SreSpeechRecognized;
speechRecognitionEngine.SpeechHypothesized += SreSpeechHypothesized;
speechRecognitionEngine.SpeechRecognitionRejected += SreSpeechRecognitionRejected;

using (Stream s = audioSource.Start())
{
speechRecognitionEngine.SetInputToAudioStream(
s, new SpeechAudioFormatInfo(EncodingFormat.Pcm,
16000, 16, 1, 32000, 2, null));

Console.WriteLine(
"Recognizing speech. Say: 'help', 'green' or 'blue'. Press ENTER to stop");

speechRecognitionEngine.RecognizeAsync(RecognizeMode.Multiple);
Console.ReadLine();
Console.WriteLine("Stopping recognizer ...");
speechRecognitionEngine.RecognizeAsyncStop();
}
}
}

private static RecognizerInfo GetKinectRecognizer()
{
Func<RecognizerInfo, bool> matchingFunc = r =>
{
string value;
r.AdditionalInfo.TryGetValue("Kinect", out value);
return "True".Equals(value, StringComparison.InvariantCultureIgnoreCase) &&
"en-US".Equals(r.Culture.Name, StringComparison.InvariantCultureIgnoreCase);
};
return SpeechRecognitionEngine.InstalledRecognizers().Where(matchingFunc).
FirstOrDefault();
}

private static void SreSpeechRecognitionRejected(object sender, SpeechRecognitionRejectedEventArgs e)
{
Console.WriteLine("\nSpeech Rejected");
if (e.Result != null)
{
DumpRecordedAudio(e.Result.Audio);
}
}

private static void SreSpeechHypothesized(object sender, SpeechHypothesizedEventArgs e)
{
Console.Write("\rSpeech Hypothesized: \t{0}", e.Result.Text);
}

private static void SreSpeechRecognized(object sender, SpeechRecognizedEventArgs e)
{
if (e.Result.Confidence >= 0.7)
{
Console.WriteLine("\nSpeech Recognized: \t{0}\tConfidence:\t{1}",
e.Result.Text, e.Result.Confidence);
}
else
{
Console.WriteLine("\nSpeech Recognized but confidence was too low: \t{0}",
e.Result.Confidence);
DumpRecordedAudio(e.Result.Audio);
}
}

private static void DumpRecordedAudio(RecognizedAudio audio)
{
if (audio == null) return;

int fileId = 0;
string filename;
while (File.Exists((filename = "RetainedAudio_" + fileId + ".wav")))
fileId++;

Console.WriteLine("\nWriting file: {0}", filename);
using (var file = new FileStream(filename, System.IO.FileMode.CreateNew))
audio.WriteToWaveStream(file);
}
}

}