Detailed explanation of speech recognition examples of WeChat public platform developed by .Net

Y2J
Release: 2017-04-22 17:41:56
Original
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This article mainly provides a detailed analysis of the speech recognition .Net code developed by WeChat public platform. Interested friends can refer to it

Voice recognitionThis function is advanced This function can only be implemented after WeChat real-name authentication. The authentication fee is 300 yuan/year. If you, as a developer, can apply for a test account, that is also possible. First, create a WeChat message class. This class has one more attribute than before.

 class wxmessage 
  { 
    public string FromUserName { get; set; } 
    public string ToUserName { get; set; } 
    public string MsgType { get; set; } 
    public string EventName { get; set; } 
    public string Content { get; set; }
    public string Recognition { get; set; }
    public string EventKey { get; set; } 
  }
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Voice recognition is a function that comes with WeChat. It is very powerful and does not require us to do too many operations:

protected void Page_Load(object sender, EventArgs e)
   {
     wxmessage wx = GetWxMessage();
     string res = "";

     if (!string.IsNullOrEmpty(wx.EventName) && wx.EventName.Trim() == "subscribe")
     {//刚关注时的时间,用于欢迎词
       string content = "";
       content = "/:rose欢迎北京永杰友信科技有限公司/:rose\n直接回复“你好”";
       res = sendTextMessage(wx, content);
     }
     else
     {
       if (wx.MsgType == "text" && wx.Content == "你好")
       {
         res = sendTextMessage(wx, "你好,欢迎使用北京永杰友信科技有限公司公共微信平台!");
       }
       else if (wx.MsgType == "voice")//识别消息类型为语音
       {
         res = sendTextMessage(wx, wx.Recognition);//wx.Recognition就是语音识别的结果了,我们直接引用,以文本形式反馈就OK了

       }
       else
       {
         res = sendTextMessage(wx, "你好,未能识别消息!");
       }
     }

     Response.Write(res);
   }

 private wxmessage GetWxMessage()
   {
     wxmessage wx = new wxmessage();
     StreamReader str = new StreamReader(Request.InputStream, System.Text.Encoding.UTF8);
     XmlDocument xml = new XmlDocument();
     xml.Load(str);
     wx.ToUserName = xml.SelectSingleNode("xml").SelectSingleNode("ToUserName").InnerText;
     wx.FromUserName = xml.SelectSingleNode("xml").SelectSingleNode("FromUserName").InnerText;
     wx.MsgType = xml.SelectSingleNode("xml").SelectSingleNode("MsgType").InnerText;
     if (wx.MsgType.Trim() == "text")
     {
       wx.Content = xml.SelectSingleNode("xml").SelectSingleNode("Content").InnerText;
     }
     if (wx.MsgType.Trim() == "event")
     {
       wx.EventName = xml.SelectSingleNode("xml").SelectSingleNode("Event").InnerText;
     }
     if (wx.MsgType.Trim() == "voice")//如果是语音消息的话就把识别结果赋值给实体类的相应属性Recognition 
     {
       wx.Recognition = xml.SelectSingleNode("xml").SelectSingleNode("Recognition").InnerText;
     }
     
     return wx;
   }

   ///  
   /// 发送文字消息 
   ///  
   /// 获取的收发者信息 
   /// 内容 
   ///  
   private string sendTextMessage(wxmessage wx, string content)
   {
     string res = string.Format(@" ",
       wx.FromUserName, wx.ToUserName, DateTime.Now, content);
     return res;
   }
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