想实现语音识别已经很久了，也尝试了许多次，终究还是失败了，原因很多，识别效果不理想，个人在技术上没有成功实现，种种原因，以至于花费了好多时间在上面。语音识别，我尝试过的有科大讯飞、百度语音，微软系。最终还是喜欢微软系的简洁高效。(勿喷，纯个人感觉)
最开始自己的想法是我说一句话(暂且在控制台上做Demo)，控制台程序能识别我说的是什么，然后显示出来，并且根据我说的信息，执行相应的行为.(想法很美好，现实很糟心）初入语音识别，各种错误各种来，徘徊不定的选择哪家公司的api，百度上查找各种语音识别的demo，学习参考，可是真正在.NET平台上运行成功的却是寥寥无几，或许是我查找方向有问题，经历了许多的坑，没一次成功过，心灰且意冷，打了几次退堂鼓，却终究忍受不住想玩语音识别。
可以看看我VS中的语音demo
第一个是今天的主角-稍后再提。
第二个和第三个是微软系的系统自带的System.Speech.dll和看了微软博客里面的一篇文章而去尝试的Microsoft.Speech.dll 可惜文章写的挺好的，我尝试却是失败的，并且发现一个问题，就是英文版的微软语音识别是无效的(Microsoft.Speech.Recognition)，而中文版的语音合成是无效的(Microsoft.Speech.Synthesis).，因此，我不得不将两个dll混合使用，来达到我想要的效果，最终效果确实达到了，不过却是极其简单的，一旦识别词汇多起来，这识别率直接下降，我一直认为是采样频率的问题，可是怎么也找不到采样频率的属性或是字段，如有会的朋友可给我点信息，让我也飞起来，哈哈。
第四个是百度语音识别demo，代码简洁许多，实现难度不难，可是小细节很多，需要注意，然后是雷区挺多的，但是呢，指导走出雷区的说明书却是太少了，我是踩了雷，很郁闷。
首先来看看，现在市面上主流语音识别设计方式：
1、离线语音识别
离线语音识别很好理解，就是语音识别库在本地或是局域网内，无需发起远程连接。这个也是我当初的想法，自己弄一套语音识别库，然后根据里面的内容设计想要的行为请求。利用微软系的System.Speech.dll中的语音识别和语音合成功能。实现了简单的中文语音识别功能，但是一旦我将语音识别库逐渐加大，识别率就越来越低，不知是我电脑麦克风不行还是其它原因。最终受打击，放弃。当我试着学习百度语音时，也发现了离线语音识别库，但是呢官方并没有给出具体的操作流程和设计思路，我也没有去深入了解，有时间我要好好了解一番。
1 using System; 2 //using Microsoft.Speech.Synthesis;//中文版tts不能发声
3 using Microsoft.Speech.Recognition; 4 using System.Speech.Synthesis; 5 //using System.Speech.Recognition;
6
7 namespace SAssassin.SpeechDemo 8 { 9 /// <summary>
10 /// 微软语音识别 中文版 貌似效果还好点 11 /// </summary>
12 class Program 13 { 14 static SpeechSynthesizer sy = new SpeechSynthesizer(); 15 static void Main(string[] args) 16 { 17 //创建中文识别器
18 using (SpeechRecognitionEngine recognizer = new SpeechRecognitionEngine(new System.Globalization.CultureInfo("zh-CN"))) 19 { 20 foreach (var config in SpeechRecognitionEngine.InstalledRecognizers()) 21 { 22 Console.WriteLine(config.Id); 23 } 24 //初始化命令词
25 Choices commonds = new Choices(); 26 string[] commond1 = new string[] { "一", "二", "三", "四", "五", "六", "七", "八", "九" }; 27 string[] commond2 = new string[] { "很高兴见到你", "识别率", "assassin", "长沙", "湖南", "实习" }; 28 string[] commond3 = new string[] { "开灯", "关灯", "播放音乐", "关闭音乐", "浇水", "停止浇水", "打开背景灯", "关闭背景灯" }; 29 //添加命令词
30 commonds.Add(commond1); 31 commonds.Add(commond2); 32 commonds.Add(commond3); 33 //初始化命令词管理
34 GrammarBuilder gBuilder = new GrammarBuilder(); 35 //将命令词添加到管理中
36 gBuilder.Append(commonds); 37 //实例化命令词管理
38 Grammar grammar = new Grammar(gBuilder); 39
40 //创建并加载听写语法(添加命令词汇识别的比较精准)
41 recognizer.LoadGrammarAsync(grammar); 42 //为语音识别事件添加处理程序。
43 recognizer.SpeechRecognized += new EventHandler<SpeechRecognizedEventArgs>(Recognizer_SpeechRRecongized); 44 //将输入配置到语音识别器。
45 recognizer.SetInputToDefaultAudioDevice(); 46 //启动异步，连续语音识别。
47 recognizer.RecognizeAsync(RecognizeMode.Multiple); 48 //保持控制台窗口打开。
49 Console.WriteLine("你好"); 50 sy.Speak("你好"); 51 Console.ReadLine(); 52 } 53 } 54
55 //speechrecognized事件处理
56 static void Recognizer_SpeechRRecongized(object sender, SpeechRecognizedEventArgs e) 57 { 58 Console.WriteLine("识别结果：" + e.Result.Text + " " + e.Result.Confidence + " " + DateTime.Now); 59 sy.Speak(e.Result.Text); 60 } 61 } 62 }
2、在线语音识别。
在线语音识别是我们当前程序将语音文件发送到远程服务中心，待远程服务中心匹配解决后将匹配结果进行返回的过程。其使用的一般是Restful风格，利用Json数据往返识别结果。
刚开始学习科大讯飞的语音识别，刚开始什么也不懂，听朋友推荐加上自己百度学习，科大讯飞都说很不错，也抱着心态去学习学习，可是windows平台下只有C++的demo，无奈我是C#，虽说语言很大程度上不分家，可是不想过于麻烦，网上找了一个demo，据说是最全的C#版本的讯飞语音识别demo,可是当看到里面错综复杂的源代码时，内心是忧伤的，这里是直接通过一种方式引用c++的函数，运行了该demo，成功了，能简单的录音然后识别，但是有些地方存在问题，也得不到解决方案，不得已，放弃。
后来，百度语音吸引我了，七月份时，重新开始看百度语音的demo，官网demo比较简单，尝试着学习了一下，首先你得到百度语音开放平台去创建应用得到App key 和Secret key，然后下载着demo，在构造函数或者字段中又或是写入配置文件中，将这两个得到的key写入，程序会根据这两个key去发起请求的。就如同开头所说，这是在线语音识别，利用Restful风格，将语音文件上传至百度语音识别中心，然后识别后将回执数据返回到我们的程序中，刚开始，配置的时候自己技术不怎么样，配置各种出错，地雷开始踩了，总要炸几次，最终还是能将demo中的测试文件识别出来，算是我个人的一小步把.(如果有朋友正好碰到踩雷问题，不妨可与我一起探讨，或许我也不懂，但在我踩过的里面至少我懂了，哈哈)
接下来是设计思路的问题，语音识别能成功了，语音合成也能成功了，这里要注意，语音识别和语音合成要分别开通，并且这两个都有App Key和Secret Key 虽然是一样的，但是还是要注意，不然语音合成就会出问题的。接下来要考虑的问题就是，百度语音的设计思路是根据文件识别，但是我们考虑的最多的就是我直接麦克风语音输入，然后识别，这也是我的想法，接下来解决这一问题，设计思路是，我将输入的信息作为文件形式保存，等我输入完，然后就调用语音识别方法，这不就行了吗，确实也是可以的，此处，又开始进入雷区了，利用NAudio.dll文件实现录音功能，这个包可以在Nuget中下载。
1 using NAudio.Wave; 2 using System; 3
4 namespace SAssassin.VOC 5 { 6 /// <summary>
7 /// 实现录音功能 8 /// </summary>
9 public class RecordWaveToFile 10 { 11 private WaveFileWriter waveFileWriter = null; 12 private WaveIn myWaveIn = null; 13
14 public void StartRecord() 15 { 16 ConfigWave(); 17 myWaveIn.StartRecording(); 18 } 19
20 private void ConfigWave() 21 { 22 string filePath = AppDomain.CurrentDomain.BaseDirectory + "Temp.wav"; 23 myWaveIn = new WaveIn() 24 { 25 WaveFormat = new WaveFormat(16000, 16, 1)//8k,16bit,单频 26 //WaveFormat = new WaveFormat()//识别音质清晰
27 }; 28 myWaveIn.DataAvailable += new System.EventHandler<WaveInEventArgs>(WaveIn_DataAvailable); 29 myWaveIn.RecordingStopped += new System.EventHandler<StoppedEventArgs>(WaveIn_RecordingStopped); 30 waveFileWriter = new WaveFileWriter(filePath, myWaveIn.WaveFormat); 31 } 32
33 private void WaveIn_DataAvailable(object sender,WaveInEventArgs e) 34 { 35 if(waveFileWriter != null) 36 { 37 waveFileWriter.Write(e.Buffer,0,e.BytesRecorded); 38 waveFileWriter.Flush(); 39 } 40 } 41
42 private void WaveIn_RecordingStopped(object sender,StoppedEventArgs e) 43 { 44 myWaveIn.StopRecording(); 45 } 46 } 47 }
此处控制器中使用WaveInEvent不会报错，可就在这之前，我用的是WaveIn类，然后直接报错了
“System.InvalidOperationException:“Use WaveInEvent to record on a background thread””
在StackOverFlow上找到了解决方案，就是将WaveIn类换成WaveInEvent类即可，进入类里面看一下，其实发现都是引用同一个接口，甚至说两个类的结构都是一模一样的，只是一个用于GUI线程，一个用于后台线程。一切就绪，录音也能实现，可是当我查看自己的录音文件时，杂音好多，音质不侵袭，甚至是直接失真了，没什么用，送百度也识别失败，当将采样频率提高到44k时效果很好，录音文件很不错，但是问题来了，百度语音识别规定的pcm文件只能是8k-16bit,糟心，想换成其它格式的文件，采取压缩形式保存，但是一旦将采样频率降下来，这个效果就很糟糕，识别也是成了问题。不得不说，这还要慢慢来解决哈。
进入今天重头戏，这也是我博客园第一篇随笔文章，该讲点重点了，微软认知服务，七月中旬的时候接触到了必应的语音识别api，在微软bing官网里，并且里面的识别效果，让我惊呼，这识别率太高了。然后想找它的api，发现文档全是英文资料，糟心。把资料看完，感觉使用方式很不错，也是远程调用的方式，但是api呢，官网找了老半天，只有文档，那时也没看上面的产品，试用版什么的，只能看着，却不能用，心累。也就在这几天，重新看了下必应的语音识别文档，才接触到这个词--"微软认知服务", 恕我见识太浅，这个好东西却没听过，百度一查，真是不错，微软太牛了，这个里面包含很多api，语音识别都只算小菜一只，人脸识别，语义感知，等等很牛的功能，找到Api，找到免费试用，登录获得app的secret key ，便可以用起来了。下载一个demo，将secret key输入，测试一下，哇塞，这识别效果，简直了，太强了。并且从百度中看到很多结果，使用到微软认知服务语音识别功能的很少，我也因此有写一点东西的想法。
我将demo中的很多地方抽出来直接形成了一个控制器程序，源码如下
1 public class SpeechConfig 2 { 3 #region Fields
4 /// <summary>
5 /// The isolated storage subscription key file name. 6 /// </summary>
7 private const string IsolatedStorageSubscriptionKeyFileName = "Subscription.txt"; 8
9 /// <summary>
10 /// The default subscription key prompt message 11 /// </summary>
12 private const string DefaultSubscriptionKeyPromptMessage = "Secret key"; 13
14 /// <summary>
15 /// You can also put the primary key in app.config, instead of using UI. 16 /// string subscriptionKey = ConfigurationManager.AppSettings["primaryKey"]; 17 /// </summary>
18 private string subscriptionKey = ConfigurationManager.AppSettings["primaryKey"]; 19
20 /// <summary>
21 /// Gets or sets subscription key 22 /// </summary>
23 public string SubscriptionKey 24 { 25 get
26 { 27 return this.subscriptionKey; 28 } 29
30 set
31 { 32 this.subscriptionKey = value; 33 this.OnPropertyChanged<string>(); 34 } 35 } 36
37 /// <summary>
38 /// The data recognition client 39 /// </summary>
40 private DataRecognitionClient dataClient; 41
42 /// <summary>
43 /// The microphone client 44 /// </summary>
45 private MicrophoneRecognitionClient micClient; 46
47 #endregion Fields
48
49 #region event
50 /// <summary>
51 /// Implement INotifyPropertyChanged interface 52 /// </summary>
53 public event PropertyChangedEventHandler PropertyChanged; 54
55 /// <summary>
56 /// Helper function for INotifyPropertyChanged interface 57 /// </summary>
58 /// <typeparam name="T">Property type</typeparam>
59 /// <param name="caller">Property name</param>
60 private void OnPropertyChanged<T>([CallerMemberName]string caller = null) 61 { 62 this.PropertyChanged?.Invoke(this, new PropertyChangedEventArgs(caller)); 63 } 64 #endregion event
65
66 #region 属性
67 /// <summary>
68 /// Gets the current speech recognition mode. 69 /// </summary>
70 /// <value>
71 /// The speech recognition mode. 72 /// </value>
73 private SpeechRecognitionMode Mode 74 { 75 get
76 { 77 if (this.IsMicrophoneClientDictation ||
78 this.IsDataClientDictation) 79 { 80 return SpeechRecognitionMode.LongDictation; 81 } 82
83 return SpeechRecognitionMode.ShortPhrase; 84 } 85 } 86
87 /// <summary>
88 /// Gets the default locale. 89 /// </summary>
90 /// <value>
91 /// The default locale. 92 /// </value>
93 private string DefaultLocale 94 { 95 //get { return "en-US"; }
96 get { return "zh-CN"; } 97
98 } 99
100 /// <summary>
101 /// Gets the Cognitive Service Authentication Uri. 102 /// </summary>
103 /// <value>
104 /// The Cognitive Service Authentication Uri. Empty if the global default is to be used. 105 /// </value>
106 private string AuthenticationUri 107 { 108 get
109 { 110 return ConfigurationManager.AppSettings["AuthenticationUri"]; 111 } 112 } 113
114 /// <summary>
115 /// Gets a value indicating whether or not to use the microphone. 116 /// </summary>
117 /// <value>
118 /// <c>true</c> if [use microphone]; otherwise, <c>false</c>. 119 /// </value>
120 private bool UseMicrophone 121 { 122 get
123 { 124 return this.IsMicrophoneClientWithIntent ||
125 this.IsMicrophoneClientDictation ||
126 this.IsMicrophoneClientShortPhrase; 127 } 128 } 129
130 /// <summary>
131 /// Gets the short wave file path. 132 /// </summary>
133 /// <value>
134 /// The short wave file. 135 /// </value>
136 private string ShortWaveFile 137 { 138 get
139 { 140 return ConfigurationManager.AppSettings["ShortWaveFile"]; 141 } 142 } 143
144 /// <summary>
145 /// Gets the long wave file path. 146 /// </summary>
147 /// <value>
148 /// The long wave file. 149 /// </value>
150 private string LongWaveFile 151 { 152 get
153 { 154 return ConfigurationManager.AppSettings["LongWaveFile"]; 155 } 156 } 157 #endregion 属性
158
159 #region 模式选择控制器设置
160 /// <summary>
161 /// Gets or sets a value indicating whether this instance is microphone client short phrase. 162 /// </summary>
163 /// <value>
164 /// <c>true</c> if this instance is microphone client short phrase; otherwise, <c>false</c>. 165 /// </value>
166 public bool IsMicrophoneClientShortPhrase { get; set; } 167
168 /// <summary>
169 /// Gets or sets a value indicating whether this instance is microphone client dictation. 170 /// </summary>
171 /// <value>
172 /// <c>true</c> if this instance is microphone client dictation; otherwise, <c>false</c>. 173 /// </value>
174 public bool IsMicrophoneClientDictation { get; set; } 175
176 /// <summary>
177 /// Gets or sets a value indicating whether this instance is microphone client with intent. 178 /// </summary>
179 /// <value>
180 /// <c>true</c> if this instance is microphone client with intent; otherwise, <c>false</c>. 181 /// </value>
182 public bool IsMicrophoneClientWithIntent { get; set; } 183
184 /// <summary>
185 /// Gets or sets a value indicating whether this instance is data client short phrase. 186 /// </summary>
187 /// <value>
188 /// <c>true</c> if this instance is data client short phrase; otherwise, <c>false</c>. 189 /// </value>
190 public bool IsDataClientShortPhrase { get; set; } 191
192 /// <summary>
193 /// Gets or sets a value indicating whether this instance is data client with intent. 194 /// </summary>
195 /// <value>
196 /// <c>true</c> if this instance is data client with intent; otherwise, <c>false</c>. 197 /// </value>
198 public bool IsDataClientWithIntent { get; set; } 199
200 /// <summary>
201 /// Gets or sets a value indicating whether this instance is data client dictation. 202 /// </summary>
203 /// <value>
204 /// <c>true</c> if this instance is data client dictation; otherwise, <c>false</c>. 205 /// </value>
206 public bool IsDataClientDictation { get; set; } 207
208 #endregion
209
210 #region 委托执行对象
211 /// <summary>
212 /// Called when the microphone status has changed. 213 /// </summary>
214 /// <param name="sender">The sender.</param>
215 /// <param name="e">The <see cref="MicrophoneEventArgs"/> instance containing the event data.</param>
216 private void OnMicrophoneStatus(object sender, MicrophoneEventArgs e) 217 { 218 Task task = new Task(() =>
219 { 220 Console.WriteLine("--- Microphone status change received by OnMicrophoneStatus() ---"); 221 Console.WriteLine("********* Microphone status: {0} *********", e.Recording); 222 if (e.Recording) 223 { 224 Console.WriteLine("Please start speaking."); 225 } 226
227 Console.WriteLine(); 228 }); 229 task.Start(); 230 } 231
232 /// <summary>
233 /// Called when a partial response is received. 234 /// </summary>
235 /// <param name="sender">The sender.</param>
236 /// <param name="e">The <see cref="PartialSpeechResponseEventArgs"/> instance containing the event data.</param>
237 private void OnPartialResponseReceivedHandler(object sender, PartialSpeechResponseEventArgs e) 238 { 239 Console.WriteLine("--- Partial result received by OnPartialResponseReceivedHandler() ---"); 240 Console.WriteLine("{0}", e.PartialResult); 241 Console.WriteLine(); 242 } 243
244 /// <summary>
245 /// Called when an error is received. 246 /// </summary>
247 /// <param name="sender">The sender.</param>
248 /// <param name="e">The <see cref="SpeechErrorEventArgs"/> instance containing the event data.</param>
249 private void OnConversationErrorHandler(object sender, SpeechErrorEventArgs e) 250 { 251 Console.WriteLine("--- Error received by OnConversationErrorHandler() ---"); 252 Console.WriteLine("Error code: {0}", e.SpeechErrorCode.ToString()); 253 Console.WriteLine("Error text: {0}", e.SpeechErrorText); 254 Console.WriteLine(); 255 } 256
257 /// <summary>
258 /// Called when a final response is received; 259 /// </summary>
260 /// <param name="sender">The sender.</param>
261 /// <param name="e">The <see cref="SpeechResponseEventArgs"/> instance containing the event data.</param>
262 private void OnMicShortPhraseResponseReceivedHandler(object sender, SpeechResponseEventArgs e) 263 { 264 Task task = new Task(() =>
265 { 266 Console.WriteLine("--- OnMicShortPhraseResponseReceivedHandler ---"); 267
268 // we got the final result, so it we can end the mic reco. No need to do this 269 // for dataReco, since we already called endAudio() on it as soon as we were done 270 // sending all the data.
271 this.micClient.EndMicAndRecognition(); 272
273 this.WriteResponseResult(e); 274 }); 275 task.Start(); 276 } 277
278 /// <summary>
279 /// Called when a final response is received; 280 /// </summary>
281 /// <param name="sender">The sender.</param>
282 /// <param name="e">The <see cref="SpeechResponseEventArgs"/> instance containing the event data.</param>
283 private void OnDataShortPhraseResponseReceivedHandler(object sender, SpeechResponseEventArgs e) 284 { 285 Task task = new Task(() =>
286 { 287 Console.WriteLine("--- OnDataShortPhraseResponseReceivedHandler ---"); 288
289 // we got the final result, so it we can end the mic reco. No need to do this 290 // for dataReco, since we already called endAudio() on it as soon as we were done 291 // sending all the data.
292 this.WriteResponseResult(e); 293
294 }); 295 task.Start(); 296 } 297
298 /// <summary>
299 /// Called when a final response is received; 300 /// </summary>
301 /// <param name="sender">The sender.</param>
302 /// <param name="e">The <see cref="SpeechResponseEventArgs"/> instance containing the event data.</param>
303 private void OnMicDictationResponseReceivedHandler(object sender, SpeechResponseEventArgs e) 304 { 305 Console.WriteLine("--- OnMicDictationResponseReceivedHandler ---"); 306 if (e.PhraseResponse.RecognitionStatus == RecognitionStatus.EndOfDictation ||
307 e.PhraseResponse.RecognitionStatus == RecognitionStatus.DictationEndSilenceTimeout) 308 { 309 Task task = new Task(() =>
310 { 311 // we got the final result, so it we can end the mic reco. No need to do this 312 // for dataReco, since we already called endAudio() on it as soon as we were done 313 // sending all the data.
314 this.micClient.EndMicAndRecognition(); 315 }); 316 task.Start(); 317 } 318
319 this.WriteResponseResult(e); 320 } 321
322 /// <summary>
323 /// Called when a final response is received; 324 /// </summary>
325 /// <param name="sender">The sender.</param>
326 /// <param name="e">The <see cref="SpeechResponseEventArgs"/> instance containing the event data.</param>
327 private void OnDataDictationResponseReceivedHandler(object sender, SpeechResponseEventArgs e) 328 { 329 Console.WriteLine("--- OnDataDictationResponseReceivedHandler ---"); 330 if (e.PhraseResponse.RecognitionStatus == RecognitionStatus.EndOfDictation ||
331 e.PhraseResponse.RecognitionStatus == RecognitionStatus.DictationEndSilenceTimeout) 332 { 333 Task task = new Task(() =>
334 { 335
336 // we got the final result, so it we can end the mic reco. No need to do this 337 // for dataReco, since we already called endAudio() on it as soon as we were done 338 // sending all the data.
339 }); 340 task.Start(); 341 } 342
343 this.WriteResponseResult(e); 344 } 345
346 /// <summary>
347 /// Sends the audio helper. 348 /// </summary>
349 /// <param name="wavFileName">Name of the wav file.</param>
350 private void SendAudioHelper(string wavFileName) 351 { 352 using (FileStream fileStream = new FileStream(wavFileName, FileMode.Open, FileAccess.Read)) 353 { 354 // Note for wave files, we can just send data from the file right to the server. 355 // In the case you are not an audio file in wave format, and instead you have just 356 // raw data (for example audio coming over bluetooth), then before sending up any 357 // audio data, you must first send up an SpeechAudioFormat descriptor to describe 358 // the layout and format of your raw audio data via DataRecognitionClient's sendAudioFormat() method.
359 int bytesRead = 0; 360 byte[] buffer = new byte[1024]; 361
362 try
363 { 364 do
365 { 366 // Get more Audio data to send into byte buffer.
367 bytesRead = fileStream.Read(buffer, 0, buffer.Length); 368
369 // Send of audio data to service.
370 this.dataClient.SendAudio(buffer, bytesRead); 371 } 372 while (bytesRead > 0); 373 } 374 finally
375 { 376 // We are done sending audio. Final recognition results will arrive in OnResponseReceived event call.
377 this.dataClient.EndAudio(); 378 } 379 } 380 } 381 #endregion 委托执行对象
382
383 #region 辅助方法
384 /// <summary>
385 /// Gets the subscription key from isolated storage. 386 /// </summary>
387 /// <returns>The subscription key.</returns>
388 private string GetSubscriptionKeyFromIsolatedStorage() 389 { 390 string subscriptionKey = null; 391
392 using (IsolatedStorageFile isoStore = IsolatedStorageFile.GetStore(IsolatedStorageScope.User | IsolatedStorageScope.Assembly, null, null)) 393 { 394 try
395 { 396 using (var iStream = new IsolatedStorageFileStream(IsolatedStorageSubscriptionKeyFileName, FileMode.Open, isoStore)) 397 { 398 using (var reader = new StreamReader(iStream)) 399 { 400 subscriptionKey = reader.ReadLine(); 401 } 402 } 403 } 404 catch (FileNotFoundException) 405 { 406 subscriptionKey = null; 407 } 408 } 409
410 if (string.IsNullOrEmpty(subscriptionKey)) 411 { 412 subscriptionKey = DefaultSubscriptionKeyPromptMessage; 413 } 414
415 return subscriptionKey; 416 } 417
418 /// <summary>
419 /// Creates a new microphone reco client without LUIS intent support. 420 /// </summary>
421 private void CreateMicrophoneRecoClient() 422 { 423 this.micClient = SpeechRecognitionServiceFactory.CreateMicrophoneClient( 424 this.Mode,this.DefaultLocale,this.SubscriptionKey); 425
426 this.micClient.AuthenticationUri = this.AuthenticationUri; 427
428 // Event handlers for speech recognition results
429 this.micClient.OnMicrophoneStatus += this.OnMicrophoneStatus; 430 this.micClient.OnPartialResponseReceived += this.OnPartialResponseReceivedHandler; 431 if (this.Mode == SpeechRecognitionMode.ShortPhrase) 432 { 433 this.micClient.OnResponseReceived += this.OnMicShortPhraseResponseReceivedHandler; 434 } 435 else if (this.Mode == SpeechRecognitionMode.LongDictation) 436 { 437 this.micClient.OnResponseReceived += this.OnMicDictationResponseReceivedHandler; 438 } 439
440 this.micClient.OnConversationError += this.OnConversationErrorHandler; 441 } 442
443 /// <summary>
444 /// Creates a data client without LUIS intent support. 445 /// Speech recognition with data (for example from a file or audio source). 446 /// The data is broken up into buffers and each buffer is sent to the Speech Recognition Service. 447 /// No modification is done to the buffers, so the user can apply their 448 /// own Silence Detection if desired. 449 /// </summary>
450 private void CreateDataRecoClient() 451 { 452 this.dataClient = SpeechRecognitionServiceFactory.CreateDataClient( 453 this.Mode, 454 this.DefaultLocale, 455 this.SubscriptionKey); 456 this.dataClient.AuthenticationUri = this.AuthenticationUri; 457
458 // Event handlers for speech recognition results
459 if (this.Mode == SpeechRecognitionMode.ShortPhrase) 460 { 461 this.dataClient.OnResponseReceived += this.OnDataShortPhraseResponseReceivedHandler; 462 } 463 else
464 { 465 this.dataClient.OnResponseReceived += this.OnDataDictationResponseReceivedHandler; 466 } 467
468 this.dataClient.OnPartialResponseReceived += this.OnPartialResponseReceivedHandler; 469 this.dataClient.OnConversationError += this.OnConversationErrorHandler; 470 } 471
472 /// <summary>
473 /// Writes the response result. 474 /// </summary>
475 /// <param name="e">The <see cref="SpeechResponseEventArgs"/> instance containing the event data.</param>
476 private void WriteResponseResult(SpeechResponseEventArgs e) 477 { 478 if (e.PhraseResponse.Results.Length == 0) 479 { 480 Console.WriteLine("No phrase response is available."); 481 } 482 else
483 { 484 Console.WriteLine("********* Final n-BEST Results *********"); 485 for (int i = 0; i < e.PhraseResponse.Results.Length; i++) 486 { 487 Console.WriteLine( 488 "[{0}] Confidence={1}, Text=\"{2}\"", 489 i, 490 e.PhraseResponse.Results[i].Confidence, 491 e.PhraseResponse.Results[i].DisplayText); 492 if (e.PhraseResponse.Results[i].DisplayText == "关闭。") 493 { 494 Console.WriteLine("收到命令，马上关闭"); 495 } 496 } 497
498 Console.WriteLine(); 499 } 500 } 501 #endregion 辅助方法
502
503 #region Init
504 public SpeechConfig() 505 { 506 this.IsMicrophoneClientShortPhrase = true; 507 this.IsMicrophoneClientWithIntent = false; 508 this.IsMicrophoneClientDictation = false; 509 this.IsDataClientShortPhrase = false; 510 this.IsDataClientWithIntent = false; 511 this.IsDataClientDictation = false; 512
513 this.SubscriptionKey = this.GetSubscriptionKeyFromIsolatedStorage(); 514 } 515
516 /// <summary>
517 /// 语音识别开始执行 518 /// </summary>
519 public void SpeechRecognize() 520 { 521 if (this.UseMicrophone) 522 { 523 if (this.micClient == null) 524 { 525 this.CreateMicrophoneRecoClient(); 526 } 527
528 this.micClient.StartMicAndRecognition(); 529 } 530 else
531 { 532 if (null == this.dataClient) 533 { 534 this.CreateDataRecoClient(); 535 } 536
537 this.SendAudioHelper((this.Mode == SpeechRecognitionMode.ShortPhrase) ? this.ShortWaveFile : this.LongWaveFile); 538 } 539 } 540 #endregion Init
541 }
在这其中有几个引用文件可以通过nuget包下载，基本没什么问题。对了这里注意的一个问题就是，下载Microsoft.Speech的时候一定是两个包都需要下载，不然会报错的，版本必须是4.5+以上的。
只需替换默认的key就行，程序便可跑起来，效果真是很6
这识别率真是很好很好，很满意，可是这个微软的免费试用只有一个月，那就只能在这个月里多让它开花结果了哈哈。
2017-08-20,望技术有成后能回来看见自己的脚步。