matlab gui语音信号处理降噪处理的按钮设置

Question

怎么设置按钮实现调用算法功能，就是能够对语音信号进行降噪处理的功能

Answer 1

不知道你这个问题是否已经解决, 如果还没有解决的话:

• 给你找了一篇非常好的博客，你可以看看是否有帮助，链接：matlab GUI 删除表格数据报错问题以及按钮背景图片加载问题
• 除此之外, 这篇博客: 【语音识别】基于matlab GUI语音识别信号灯图像模拟控制（带面板）【含Matlab源码 757期】中的 二、部分源代码 部分也许能够解决你的问题, 你可以仔细阅读以下内容或者直接跳转源博客中阅读:
  

  function varargout = EmotionRec(varargin)
  % EMOTIONREC M-file for EmotionRec.fig
  %      EMOTIONREC, by itself, creates a new EMOTIONREC or raises the existing
  %      singleton*.
  %
  %      H = EMOTIONREC returns the handle to a new EMOTIONREC or the handle to
  %      the existing singleton*.
  %
  %      EMOTIONREC('CALLBACK',hObject,eventData,handles,...) calls the local
  %      function named CALLBACK in EMOTIONREC.M with the given input arguments.
  %
  %      EMOTIONREC('Property','Value',...) creates a new EMOTIONREC or raises the
  %      existing singleton*.  Starting from the left, property value pairs are
  %      applied to the GUI before EmotionRec_OpeningFcn gets called.  An
  %      unrecognized property name or invalid value makes property application
  %      stop.  All inputs are passed to EmotionRec_OpeningFcn via varargin.
  %
  %      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
  %      instance to run (singleton)".
  %
  % See also: GUIDE, GUIDATA, GUIHANDLES
  
  % Edit the above text to modify the response to help EmotionRec
  
  % Last Modified by GUIDE v2.5 12-May-2013 18:24:47
  
  % Begin initialization code - DO NOT EDIT
  gui_Singleton = 1;
  gui_State = struct('gui_Name',       mfilename, ...
      'gui_Singleton',  gui_Singleton, ...
      'gui_OpeningFcn', @EmotionRec_OpeningFcn, ...
      'gui_OutputFcn',  @EmotionRec_OutputFcn, ...
      'gui_LayoutFcn',  [] , ...
      'gui_Callback',   []);
  if nargin && ischar(varargin{1})
      gui_State.gui_Callback = str2func(varargin{1});
  end
  
  if nargout
      [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
  else
      gui_mainfcn(gui_State, varargin{:});
  end
  % End initialization code - DO NOT EDIT
  
  
  % --- Executes just before EmotionRec is made visible.
  function EmotionRec_OpeningFcn(hObject, eventdata, handles, varargin)
  % This function has no output args, see OutputFcn.
  % hObject    handle to figure
  % eventdata  reserved - to be defined in a future version of MATLAB
  % handles    structure with handles and user data (see GUIDATA)
  % varargin   command line arguments to EmotionRec (see VARARGIN)
  
  % Choose default command line output for EmotionRec
  handles.output = hObject;
  addpath(fullfile(pwd, 'voicebox'));
  clc;
  axes(handles.axes1); cla reset; box on;
  set(gca, 'XTick', [], 'YTick', [], ...
      'XTickLabel', '', 'YTickLabel', '', 'Color', [0.7020 0.7804 1.0000]);
  set(handles.axes2, 'XTick', [], 'YTick', [], ...
      'XTickLabel', '', 'YTickLabel', '', 'Color', [0.7020 0.7804 1.0000], ...
      'Box', 'On');
  handles.dirName = 0;
  handles.S = 0;
  handles.fileurl = 0;
  
  % Update handles structure
  guidata(hObject, handles);
  
  % UIWAIT makes EmotionRec wait for user response (see UIRESUME)
  % uiwait(handles.figure1);
  
  
  % --- Outputs from this function are returned to the command line.
  function varargout = EmotionRec_OutputFcn(hObject, eventdata, handles)
  % varargout  cell array for returning output args (see VARARGOUT);
  % hObject    handle to figure
  % eventdata  reserved - to be defined in a future version of MATLAB
  % handles    structure with handles and user data (see GUIDATA)
  
  % Get default command line output from handles structure
  varargout{1} = handles.output;
  
  
  % --- Executes on button press in pushbutton1.
  function pushbutton1_Callback(hObject, eventdata, handles)
  % hObject    handle to pushbutton1 (see GCBO)
  % eventdata  reserved - to be defined in a future version of MATLAB
  % handles    structure with handles and user data (see GUIDATA)
  %% 载入语音库
  % 数据库路径
  dirName = './wav/Database';
  dirName = uigetdir(dirName);
  if isequal(dirName, 0)
      return;
  end
  msgbox(sprintf('载入%s成功！', dirName), '提示信息');
  handles.dirName = dirName;
  guidata(hObject, handles);
  
  % --- Executes on button press in pushbutton2.
  function pushbutton2_Callback(hObject, eventdata, handles)
  % hObject    handle to pushbutton2 (see GCBO)
  % eventdata  reserved - to be defined in a future version of MATLAB
  % handles    structure with handles and user data (see GUIDATA)
  %% 提取特征参数
  if isequal(handles.dirName, 0)
      msgbox('请选择音频库目录', '提示信息', 'modal');
      return;
  end
  S = GetDatabase(handles.dirName);
  handles.S = S;
  guidata(hObject, handles);
  msgbox('音频信号特征提取完毕', '提示信息', 'modal');
  
  % --- Executes on button press in pushbutton3.
  function pushbutton3_Callback(hObject, eventdata, handles)
  % hObject    handle to pushbutton3 (see GCBO)
  % eventdata  reserved - to be defined in a future version of MATLAB
  % handles    structure with handles and user data (see GUIDATA)
  %% 选择测试文件
  file = './wav/Test/1.wav';
  [Filename, Pathname] = uigetfile('*.wav', '打开新的语音文件',...
      file);
  if Filename == 0
      return;
  end
  fileurl = fullfile(Pathname,Filename);
  [signal, fs] = audioread(fileurl);
  axes(handles.axes1); cla reset; box on;
  plot(signal); title('待识别语音信号', 'FontWeight', 'Bold');
  msgbox('载入语音文件成功', '提示信息', 'modal');
  handles.fileurl = fileurl;
  handles.signal = signal;
  handles.fs = fs;
  guidata(hObject, handles);
  
  % --- Executes on button press in pushbutton4.
  function pushbutton4_Callback(hObject, eventdata, handles)
  % hObject    handle to pushbutton4 (see GCBO)
  % eventdata  reserved - to be defined in a future version of MATLAB
  % handles    structure with handles and user data (see GUIDATA)
  
  %% 识别
  if isequal(handles.fileurl, 0)
      msgbox('请选择音频文件', '提示信息', 'modal');
      return;
  end
  if isequal(handles.S, 0)
      msgbox('请计算音频库MFCC特征', '提示信息', 'modal');
      return;
  end
  S = handles.S;
  [num, MC] = Reco(S, handles.fileurl);
  result = S(num).name;
  result = result(1:2);
  c = 'r';
  function MC = GetFeather(file, flag)
  if nargin < 2
      flag = 0;
  end
  if nargin < 1
      file = '.\wav\Database\关闭\关闭_bsm.wav';
  end
  [signal, fs] = audioread(file);
  framelength = 1024;
  framenumber = fix(length(signal)/framelength);
  for L = 1:framenumber
      for m = 1:framelength
          framedata(m) = signal((L-1)*framelength+m);
      end
      E(L) = sum(framedata.^2);
  end
  if flag
      figure; plot(E);
  end
  meanE = mean(E);
  startflag=0;
  startnum=0;
  startframe=0;
  endframe = 0;
  S = [];
  for L = 1 : framenumber
      if E(L) > meanE
          startnum = startnum+1;
          if startnum == 2
              startframe = L-2;
              startflag = 1;
          end
      end
      if E(L) < meanE
          if startflag == 1
              endframe = L-1;
              S = [S; startframe endframe];
              startflag = 0;
              startnum = 0;
          end
      end
  end
  if size(S, 1) > 1
      ms = min(S(:, 1));
      es = max(S(:, 2));
  else
      ms = S(1);
      es = S(2);
  end
  
  MC = [];
  snum = 1;
  for i = ms : es
      si = (i-1)*framelength;
      ei = i*framelength;
      fi = signal(si:ei);
      mc = mfcc(fi,fs);
      MC{snum} = mc;
      snum = snum + 1;
  end
  

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