Voice recognition signal light image simulation control based on MATLAB GUI

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 anew 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'.'a', 'YTickLabel'.'a', 'Color'[0.7020 0.7804 1.0000]);
set(handles.axes2, 'XTick'[],'YTick', [],...'XTickLabel'.'a', 'YTickLabel'.'a', '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)%% load language library % database path dirName= './wav/Database';
dirName = uigetdir(dirName);
if isequal(dirName, 0)
    return;
end
msgbox(sprintf('Loading %s succeeded! ', dirName), 'Prompt message');
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)%% extracting characteristic parametersif isequal(handles.dirName, 0)
    msgbox('Please select audio library directory'.'Prompt message'.'modal');
    return;
end
S = GetDatabase(handles.dirName);
handles.S = S;
guidata(hObject, handles);
msgbox('Audio signature extracted.'.'Prompt message'.'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)%% select the test file file= './wav/Test/1.wav';
[Filename, Pathname] = uigetfile('*.wav'.'Open a new voice file'. file);if Filename == 0
    return;
end
fileurl = fullfile(Pathname,Filename);
[signal, fs] = audioread(fileurl);
axes(handles.axes1); cla reset; box on;
plot(signal); title('Speech signal to be recognized'.'FontWeight'.'Bold');
msgbox('Voice file loaded successfully'.'Prompt message'.'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)% % recognitionif isequal(handles.fileurl, 0)
    msgbox('Please select audio file'.'Prompt message'.'modal');
    return;
end
if isequal(handles.S, 0)
    msgbox('Please calculate the audio library MFCC feature'.'Prompt message'.'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\ close \ close _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 = L2 -;
            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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Version: 2014 a