Speech recognition Based on MATLAB GUI voice print recognition

function varargout = GUI(varargin)
% GUI MATLAB code for GUI.fig
%      GUI, by itself, creates a new GUI or raises the existing
%      singleton*.
%
%      H = GUI returns the handle to a new GUI or the handle to
%      the existing singleton*.
%
%      GUI('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in GUI.M with the given input arguments.
%
%      GUI('Property'.'Value',...). creates anew GUI or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before GUI_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to GUI_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 GUI

% Last Modified by GUIDE v2. 5 15-Mar- 2021. 17:37:45

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @GUI_OpeningFcn, ...
                   'gui_OutputFcn',  @GUI_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 GUI is made visible.
function GUI_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 GUI (see VARARGIN)

% Choose default command line output for GUI
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes GUI wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = GUI_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)
fprintf('\n Identifying... \n\n'); % Load speakerData; load speakerGmm; waveDir='trainning\'; Test_speakerData = dir(waveDir); % gets the structure data in the test set, which is acharType Test_speakerData(1:2) = [];
Test_speakerNum=length(Test_speakerData);
Test_speakerNum
count=0; % % % % % % % % % % % % % % % %for i=1:Test_speakerNum %%% reading Speech [filename,filepath]= uigetFile (Test_speakerNum %%%'*.wav'.'Select Audio file');
set(handles.text1,'string',filepath)
   filep=strcat(filepath,filename); 
[testing_data, fs]=audioread(filep);
sound(testing_data, fs);
save testing_data
load testing_data
y=testing_data
axes(handles.axes1)
plot(y);
xlabel('t'); ylabel('value');
title('Time domain diagram'); % frequency domain % amplitude frequency graph N=length(y); fs1=100; % Sampling frequency n=0:N- 1; t=n/fs; % time series yfft = FFT (y,N); mag=abs(yfft); % Take the absolute value of amplitude f=n*fs/ n; Axes (axes2) axes(axes2)1:N/2),mag(1:N/2)); % Plot the amplitude before Nyquist frequency as a function of frequency xlabel('frequency/Hz');
ylabel('amplitude'); title('Frequency domain diagram'); A = % phase spectraabs(yfft);
ph=2*angle(yfft(1:N/2));
ph=ph*180/pi;
axes(handles.axes3);
plot(f(1:N/2),ph(1:N/2));
xlabel('frequency/hz'),ylabel('phase'),title('Phase spectrum of numbers 0-9'); % Draw power spectrum Fs=1000;
n=0:1/Fs:1;
xn=y;
nfft=1024; window=boxcar(length(n)); % Rectangular window noverlap=0; % Data without overlap p=0.9; % confidence probability [Pxx Pxxc] = PSD (xn, NFFT, Fs, window, noverlap, p); index=0:round(nfft/2- 1);
k=index*Fs/nfft;
plot_Pxx=10*log10(Pxx(index+1));
plot_Pxxc=10*log10(Pxxc(index+1));
axes(handles.axes4)
plot(k,plot_Pxx);
title('Power spectrum of numbers 0-9');

axes(handles.axes5)
surf( speakerData(1).mfcc); % Draw 3d map of MFCC title('3d MFCC of first Human Speech'); % Features of the first person speaking MFCC MFCC refers to the Meyercepstrum coefficient % All two-dimensional axes(handles. Axes6) plotting the first person's MFCCfor i=1:speakerNum
	fprintf('\n is the %d speaker %s training GMM... ', i,speakerData(i).name(1:end4 -));
	[speakerGmm(i).mu, speakerGmm(i).sigm,speakerGmm(i).c] = gmm_estimate(speakerData(i).mfcc(:,5:12)',gaussianNum,20); % transpose correct end fprintf('\n'); save speakerGmm speakerGmm; % Save sample GMM %hObject    handle to pushbutton5 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton6.
function pushbutton6_Callback(hObject, eventdata, handles)
clc
close all
% hObject    handle to pushbutton6 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
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Version: 2014 a