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
不知道你这个问题是否已经解决, 如果还没有解决的话: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