【语音识别】基于matlab特定人的语音识别分辨【含Matlab源码 534期】

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海神之光 发表于 2022/05/29 01:47:41 2022/05/29
【摘要】 一、简介 基于matlab特定人的语音识别分辨 二、部分源代码 function varargout = yuyinshibie(varargin) % YUYINSHIBIE MATLAB cod...

一、简介

基于matlab特定人的语音识别分辨

二、部分源代码

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

% Last Modified by GUIDE  

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

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

% Update handles structure
guidata(hObject, handles);

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


% --- Outputs from this function are returned to the command line.
function varargout = yuyinshibie_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 record.
function record_Callback(hObject, eventdata, handles)
% hObject    handle to record (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
set(handles.record,'Enable','off');
pause(0.01);
Fs = str2double(get(handles.inputFs,'String'));
inputtime = str2double(get(handles.inputtime,'String'));
handles.Fs = Fs;
handles.y = audiorecorder(Fs,16,2);
recordblocking(handles.y,inputtime);
set(handles.record,'Enable','on');
a = getaudiodata(handles.y);
audiowrite('C:\Users\11956\Desktop\ly.wav',a,Fs);


function inputFs_Callback(hObject, eventdata, handles)
% hObject    handle to inputFs (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of inputFs as text
%        str2double(get(hObject,'String')) returns contents of inputFs as a double


% --- Executes during object creation, after setting all properties.
function inputFs_CreateFcn(hObject, eventdata, handles)
% hObject    handle to inputFs (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end



function inputtime_Callback(hObject, eventdata, handles)
% hObject    handle to inputtime (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of inputtime as text
%        str2double(get(hObject,'String')) returns contents of inputtime as a double


% --- Executes during object creation, after setting all properties.
function inputtime_CreateFcn(hObject, eventdata, handles)
% hObject    handle to inputtime (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end


% --- Executes on selection change in choosewav.
function choosewav_Callback(hObject, eventdata, handles)
% hObject    handle to choosewav (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns choosewav contents as cell array
%        contents{get(hObject,'Value')} returns selected item from choosewav


% --- Executes during object creation, after setting all properties.
function choosewav_CreateFcn(hObject, eventdata, handles)
% hObject    handle to choosewav (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: popupmenu controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end


% --- Executes on button press in playzuyuan.
function playzuyuan_Callback(hObject, eventdata, handles)
% hObject    handle to playzuyuan (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
if get(handles.choosewav,'Value') == 2 
        yyy = audioread('s1.wav'); 
elseif get(handles.choosewav,'Value') == 3 
        yyy = audioread('s2.wav'); 
elseif get(handles.choosewav,'Value') == 4 
        yyy = audioread('s3.wav'); 
elseif get(handles.choosewav,'Value') == 5 
        yyy = audioread('s4.wav'); 
elseif get(handles.choosewav,'Value') == 6 
        yyy = audioread('s5.wav'); 
end     
zuyuanfile=audioplayer(yyy,44100); 
play(zuyuanfile); 
playblocking(zuyuanfile);

% --- Executes on button press in maben.
function maben_Callback(hObject, eventdata, handles)
% hObject    handle to maben (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
global code;
code = train('s',5);

% --- Executes on selection change in identifywav.
function identifywav_Callback(hObject, eventdata, handles)
% hObject    handle to identifywav (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns identifywav contents as cell array
%        contents{get(hObject,'Value')} returns selected item from identifywav


  
 
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三、运行结果

在这里插入图片描述

四、matlab版本及参考文献

1 matlab版本
2014a

2 参考文献
[1]韩纪庆,张磊,郑铁然.语音信号处理(第3版)[M].清华大学出版社,2019.
[2]柳若边.深度学习:语音识别技术实践[M].清华大学出版社,2019.

文章来源: qq912100926.blog.csdn.net,作者:海神之光,版权归原作者所有,如需转载,请联系作者。

原文链接:qq912100926.blog.csdn.net/article/details/114876999

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