基于MATLAB的多功能语音处理器

一、设计功能

1. 录制音频，保存音频
2. 对录制的语音信号进行频谱分析，确定该段语音的主要频率范围；
3. 利用采样定理，对该段语音信号进行采样，观察不用采样频率（过采样、欠采样、临界采样）对信号的影响；
4. 实现语音信号的快放、慢放、倒放、男女变声；
5. 对语音信号加噪，然后进行滤波，分析不同的滤波方式对信号的影响；
6. 实现两音频的合成、拼接；
7. 利用MATLAB GUI制作语音信号采集与分析演示系统；

二、设计步骤

1.创建GUI界面

2.新建空白界面

3.拖放控件，双击控件修改tag值和string

 

4.最后界面布置为图示，右键点击任何一个控件，进入回调函数callback。

 

5.在OpeningFcn中写入下面程序

 

% --- Executes just before functionalDSP is made visible.
function functionalDSP_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 functionalDSP (see VARARGIN)

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

% Update handles structure
guidata(hObject, handles);
h1=gcf;
set(h1,'Name','多功能语音处理器','Resize','on');
h2=uimenu(h1,'label','功能');
h3=uimenu(h2,'label','基本功能');
h4=uimenu(h2,'label','采样定理');
h5=uimenu(h2,'label','快慢放');
h6=uimenu(h2,'label','加噪去噪');
h7=uimenu(h2,'label','滤波器设计');
h8=uimenu(h2,'label','合成拼接');
h12=uimenu(h1,'label','设计人员');
h13=uimenu(h12,'label','孙宁宁');
h14=uimenu(h12,'label','宝历');
h15=uimenu(h12,'label','李佳桐');
h16=uimenu(h12,'label','马宁泽');
h17=uimenu(h12,'label','王璐');
h18=uimenu(h12,'label','王智聪');
% UIWAIT makes functionalDSP wait for user response (see UIRESUME)
% uiwait(handles.h1);

 

 

6.编辑“录制1”功能

 --- Executes on button press in record2.
function record2_Callback(hObject, eventdata, handles)
% hObject    handle to record2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
r=audiorecorder(10000,16,1);
recordblocking(r, 3);
g=getaudiodata(r);
m='C:\Users\孙宁宁\Desktop\孙宁宁程序\x1.wav';
audiowrite(m,g,10000);%将音频写入文件

 

7.编辑“录制2”功能

 

 --- Executes on button press in record2.
function record2_Callback(hObject, eventdata, handles)
% hObject    handle to record2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
r=audiorecorder(10000,16,1);
recordblocking(r, 3);
g=getaudiodata(r);
m='C:\Users\孙宁宁\Desktop\孙宁宁程序\x2.wav';
audiowrite(m,g,10000);%将音频写入文件

 

 

 

8.编辑“读取”功能

%读取信号
function read_Callback(hObject, eventdata, handles)
% hObject    handle to read (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
[filename, pathname]=uigetfile({'.'},'读取音频文件');
%文件打开对话框，返回文件名和文件路径，当文件存在时会成功返回，如果不存在，则返回不存在。
if isequal([filename pathname],[0,0])%用户取消对话框返回0
return;
end
str=[pathname filename];%将文件名和路径名组合为一个字符串，赋值给str。
[x1,Fs]=audioread(str);%读取声音信号,采样值放在向量x1中，fs为采样频率
x=x1(:,1);  %对双声道信号取单声道，如果是x=x1（1:5000,1），则表示取了5000点。
handles.y1=x;%将原先采样的序列向量x给句柄y1
handles.Fs=Fs;%采样频率句柄
guidata(hObject,handles);%储存handles

 9.编辑“分析”功能

% --- Executes on button press in original.
function original_Callback(hObject, eventdata, handles)
% hObject    handle to original (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
fs1=handles.Fs;%fs1为原信号的采样频率
Y=handles.y1;%Y为原采样的原信号
Y=Y(:,1);%取单值
sound(Y,fs1);%播放声音
M=length(Y);%M为信号长度
t=0:1/fs1:(M-1)/fs1;%傅里叶变换时间长度(30000个点，变换为以s为单位)
plot(handles.shiyu1,t,Y);%绘制时域图
xlabel(handles.shiyu1,'时间/s');
ylabel(handles.shiyu1,'幅度');
title(handles.shiyu1,'原声时域图');
F=fft(Y,M);%快速傅里叶变换
f=linspace(-fs1/2,fs1/2,length(Y)+1);
f(end) = [];;%频率序列(0~50000个点)
plot(handles.pinyu1,f,abs(F));%绘制频谱图
title(handles.pinyu1,'原声频谱图');
xlabel(handles.pinyu1,'频率/Hz');
ylabel(handles.pinyu1,'幅值');

10.编辑“原信号”功能

 

function origin_Callback(hObject, eventdata, handles)
% hObject    handle to origin (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
wm=10;
wc=wm;
Ts=pi/wm;
ws=2*pi/Ts;
n=-100:100;
nTs=n*Ts;
f=sinc(nTs/pi);
t=-20:0.2:20;
f=sinc(t/pi);
N=length(f);
plot(handles.shiyu1,t,f);%绘制时域图
xlabel(handles.shiyu1,'时间/s');
ylabel(handles.shiyu1,'幅度');
title(handles.shiyu1,'原信号时域图');
F=fft(f);%快速傅里叶变换
f=[0:N-1]*wc/N;%频率序列
plot(handles.pinyu1,f,abs(F));%绘制频谱图
title(handles.pinyu1,'原信号频谱图');
xlabel(handles.pinyu1,'频率/Hz');
ylabel(handles.pinyu1,'幅值');

 

11.编辑“欠采样”功能

 

% --- Executes on button press in qian.
function qian_Callback(hObject, eventdata, handles)
% hObject    handle to qian (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
wm=10;%带宽
wc=wm;%频率
Ts=2*pi/wm;%周期
ws=2*pi/Ts;
n=-100:100;
nTs=n*Ts;
f=sinc(nTs/pi);
N=length(f);
t=-20:0.2:20;
stem(handles.shiyu4,t,f);%绘制时域图
xlabel(handles.shiyu4,'时间/s');
ylabel(handles.shiyu4,'幅度');
title(handles.shiyu4,'欠采样时域图');
F=fft(f);%快速傅里叶变换
f=[0:N-1]*wc/N;%频率序列
plot(handles.pinyu4,f,abs(F));%绘制频谱图
title(handles.pinyu4,'欠采样频谱图');
xlabel(handles.pinyu4,'频率/Hz');
ylabel(handles.pinyu4,'幅值');

 

12.编辑“临界采样”功能

 

% --- Executes on button press in lincai.
function lincai_Callback(hObject, eventdata, handles)
% hObject    handle to lincai (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
wm=10;%带宽
wc=wm;%频率
Ts=pi/wm;%周期
ws=2*pi/wm;
n=-100:100;
nTs=n*Ts;
f=sinc(nTs/pi);
t=-20:0.2:20;
N=length(f);
stem(handles.shiyu3,t,f);%绘制时域图
xlabel(handles.shiyu3,'时间/s');
ylabel(handles.shiyu3,'幅度');
title(handles.shiyu3,'临界采样时域图');
F=fft(f);%快速傅里叶变换
f=[0:N-1]*wc/N;%频率序列
plot(handles.pinyu3,f,abs(F));%绘制频谱图
title(handles.pinyu3,'临界采样频谱图');
xlabel(handles.pinyu3,'频率/Hz');
ylabel(handles.pinyu3,'幅值');

 

13.编辑“过采样”功能

 

% --- Executes on button press in guo.
function guo_Callback(hObject, eventdata, handles)
% hObject    handle to guo (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
wm=10;
wc=wm;
Ts=0.5*pi/wm;
ws=2*pi/Ts;
n=-100:100;
nTs=n*Ts;
f=sinc(nTs/pi);
t=-20:0.2:20;
f=sinc(t/pi);
N=length(f);
stem(handles.shiyu2,t,f);%绘制时域图
xlabel(handles.shiyu2,'时间/s');
ylabel(handles.shiyu2,'幅度');
title(handles.shiyu2,'过采样时域图');
F=fft(f);%快速傅里叶变换
f=[0:N-1]*wc/N;%频率序列
plot(handles.pinyu2,f,abs(F));%绘制频谱图
title(handles.pinyu2,'过采样频谱图');
xlabel(handles.pinyu2,'频率/Hz');
ylabel(handles.pinyu2,'幅值');

 

14.编辑“倒放”功能

% --- Executes on button press in dao.
function dao_Callback(hObject, eventdata, handles)
% hObject    handle to dao (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
dfs=handles.Fs;
dy=handles.y1;
M=length(dy):-1:1;%M序列颠倒
rY=dy(M);%颠倒后的信号
sound(rY,dfs);%倒放
t=0:1/dfs:(length(rY)-1)/dfs;%时间序列
plot(handles.shiyu2,t,rY);%绘制时域图
xlabel(handles.shiyu2,'时间/s');
ylabel(handles.shiyu2,'幅度');
title(handles.shiyu2,'倒放时域图');
F=fft(rY,length(rY));%快速傅里叶变换
f=[0:length(dy)-1]*dfs/length(dy);%频率序列
plot(handles.pinyu2,f,abs(F));%绘制频谱图
title(handles.pinyu2,'倒放频谱图');
xlabel(handles.pinyu2,'频率/Hz');
ylabel(handles.pinyu2,'幅值');

15.编辑“快放”功能

% --- Executes on button press in kuai.
function kuai_Callback(hObject, eventdata, handles)
% hObject    handle to kuai (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
kfs=3*handles.Fs; %fs2为采样频率
kx=handles.y1;%mx为原信号
sound(kx,kfs);
M=length(kx);%M为信号长度
t=0:1/kfs:(M-1)/kfs;%傅里叶变换时间长度
plot(handles.shiyu3,t,kx);%绘制时域图
xlabel(handles.shiyu3,'时间/s');
ylabel(handles.shiyu3,'幅度');
title(handles.shiyu3,'快放时域图');
F=fft(kx,M);%快速傅里叶变换
f=[0:M-1]*kfs/M;%频率序列
plot(handles.pinyu3,f,abs(F));%绘制频谱图
title(handles.pinyu3,'快放频谱图');
xlabel(handles.pinyu3,'频率/Hz');
ylabel(handles.pinyu3,'幅值');

16.编辑“慢放”功能

% --- Executes on button press in man.
function man_Callback(hObject, eventdata, handles)
% hObject    handle to man (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
mfs=0.7*handles.Fs; %fs2为采样频率
mx=handles.y1;%mx为原信号
sound(mx,mfs);
M=length(mx);%M为信号长度
t=0:1/mfs:(M-1)/mfs;%傅里叶变换时间长度
plot(handles.shiyu4,t,mx);%绘制时域图
xlabel(handles.shiyu4,'时间/s');
ylabel(handles.shiyu4,'幅度');
title(handles.shiyu4,'慢放时域图');
F=fft(mx,M);%快速傅里叶变换
f=[0:M-1]*mfs/M;%频率序列
plot(handles.pinyu4,f,abs(F));%绘制频谱图
title(handles.pinyu4,'慢放频谱图');
xlabel(handles.pinyu4,'频率/Hz');
ylabel(handles.pinyu4,'幅值');

17.编辑“音一”功能

 

function yin1_Callback(hObject, eventdata, handles)
% hObject    handle to yin1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
[filename, pathname]=uigetfile({'.'},'读取音频文件');
%文件打开对话框，返回文件名和文件路径，当文件存在时会成功返回，如果不存在，则返回不存在。
if isequal([filename pathname],[0,0])%用户取消对话框返回0
return;
end
str=[pathname filename];%将文件名和路径名组合为一个字符串，赋值给str。
[x1,Fs]=audioread(str);%读取声音信号,采样值放在向量x1中，fs为采样频率
x=x1(:,1);  %对双声道信号取单声道，如果是x=x1（1:5000,1），则表示取了5000点。
Y=x;%取单值
fs1=Fs;
sound(Y,fs1);%播放声音
M=length(Y);%M为信号长度
t=0:1/fs1:(M-1)/fs1;%傅里叶变换时间长度(30000个点，变换为以s为单位)
plot(handles.shiyu1,t,Y);%绘制时域图
xlabel(handles.shiyu1,'时间/s');
ylabel(handles.shiyu1,'幅度');
title(handles.shiyu1,'音一时域图');
F=fft(Y,M);%快速傅里叶变换
f=[0:M-1]*fs1/M;%频率序列(0~50000个点)
plot(handles.pinyu1,f,abs(F));%绘制频谱图
title(handles.pinyu1,'音一频谱图');
xlabel(handles.pinyu1,'频率/Hz');
ylabel(handles.pinyu1,'幅值');
handles.y2=x;%将原先采样的序列向量x给句柄y1
handles.Fs2=Fs;%采样频率句柄
guidata(hObject,handles);%储存handles

 

 

 

18.编辑“音二”功能

 

% --- Executes on button press in yin2.
function yin2_Callback(hObject, eventdata, handles)
% hObject    handle to yin2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
[filename, pathname]=uigetfile({'.'},'读取音频文件');
%文件打开对话框，返回文件名和文件路径，当文件存在时会成功返回，如果不存在，则返回不存在。
if isequal([filename pathname],[0,0])%用户取消对话框返回0
return;
end
str=[pathname filename];%将文件名和路径名组合为一个字符串，赋值给str。
[x1,Fs]=audioread(str);%读取声音信号,采样值放在向量x1中，fs为采样频率
x=x1(:,1);  %对双声道信号取单声道，如果是x=x1（1:5000,1），则表示取了5000点。
Y=x;%取单值
fs1=Fs;
sound(Y,fs1);%播放声音
M=length(Y);%M为信号长度
t=0:1/fs1:(M-1)/fs1;%傅里叶变换时间长度(30000个点，变换为以s为单位)
plot(handles.shiyu2,t,Y);%绘制时域图
xlabel(handles.shiyu2,'时间/s');
ylabel(handles.shiyu2,'幅度');
title(handles.shiyu2,'音二时域图');
F=fft(Y,M);%快速傅里叶变换
f=[0:M-1]*fs1/M;%频率序列(0~50000个点)
plot(handles.pinyu2,f,abs(F));%绘制频谱图
title(handles.pinyu2,'音二频谱图');
xlabel(handles.pinyu2,'频率/Hz');
ylabel(handles.pinyu2,'幅值');
handles.y3=x;%将原先采样的序列向量x给句柄y1
handles.Fs3=Fs;%采样频率句柄
guidata(hObject,handles);%储存handles

 

 

 

19.编辑“合成”功能

% --- Executes on button press in hecheng.
function hecheng_Callback(hObject, eventdata, handles)
% hObject    handle to hecheng (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
y=handles.y2;
fs=handles.Fs2;
y2=handles.y3;
[m,n]=size(y);%查看y的大小
[m2,n2]=size(y2);%查看y2的大小
z=zeros(max(m,m2)-min(m,m2),n);%生成一个零矩阵
if length(y)y1=[y;z];%将y与零矩阵z组合，变成一个与Y2同等大小的矩阵
new=y1+y2;%生成的新的矩阵与y2相加，得到新的音频的矩阵
sound(new,fs);%播放新的音频
else
    y1=[y2;z];%同上，当y2的长度较小时，将零矩阵和Y2组合
    new=y1+y;%生成新的矩阵和Y相加
    sound(new,fs);%播放
end;
time_new=(1:length(new))/fs;
N=length(new);
plot(handles.shiyu3,time_new,new);
xlabel(handles.shiyu3,'时间/s');
ylabel(handles.shiyu3,'幅度');
title(handles.shiyu3,'拼接信号时域图');
F=fft(new);%快速傅里叶变换
f=[0:N-1]*fs/N;%频率序列
plot(handles.pinyu3,f,abs(F));%绘制频谱图
title(handles.pinyu3,'原信号频谱图');
xlabel(handles.pinyu3,'频率/Hz');
ylabel(handles.pinyu3,'幅值');

 

20.编辑“拼接”功能

% --- Executes on button press in pj.
function pj_Callback(hObject, eventdata, handles)
% hObject    handle to pj (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
y=handles.y2;
fs=handles.Fs2;
y2=handles.y3;
[m,n]=size(y);%查看y的大小
[m2,n2]=size(y2);%查看y2的大小
z=zeros(max(m,m2)-min(m,m2),n);%生成一个零矩阵
if length(y)<=length(y2);
y1=[y;z];%将y与零矩阵z组合，变成一个与Y2同等大小的矩阵
new=[y1;y2];%生成的新的矩阵与y2相加，得到新的音频的矩阵
sound(new,fs);%播放新的音频
else
    y1=[y2;z];%同上，当y2的长度较小时，将零矩阵和Y2组合
    new=[y1;y2];%生成新的矩阵和Y相加
    sound(new,fs);%播放
end;
time_new=(1:length(new))/fs;
N=length(new);
plot(handles.shiyu4,time_new,new);
xlabel(handles.shiyu4,'时间/s');
ylabel(handles.shiyu4,'幅度');
title(handles.shiyu4,'拼接信号时域图');
F=fft(new);%快速傅里叶变换
f=[0:N-1]*fs/N;%频率序列
plot(handles.pinyu4,f,abs(F));%绘制频谱图
title(handles.pinyu4,'原信号频谱图');
xlabel(handles.pinyu4,'频率/Hz');
ylabel(handles.pinyu4,'幅值');

21.编辑“加噪”功能

% --- Executes on button press in jia.
function jia_Callback(hObject, eventdata, handles)
% hObject    handle to jia (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
fs=handles.Fs;
x=handles.y1;
y=x(:,1);  %取一行提取矩阵
noise=0.2*sin(pi*20000*(1:length(y))/fs)+0.3*sin(pi*21000*(1:length(y))/fs)...
    +0.4*sin(pi*22000*(1:length(y))/fs);%噪声 10000rad/s+10500+11000
VNnoise=y+noise';%向量维度一致
F = fft(VNnoise);
freq = linspace(-fs/2,fs/2,length(VNnoise)+1);
freq(end) = [];
t1=1:length(VNnoise);
t=t1/fs;
plot(handles.shiyu3,t,VNnoise)
xlabel(handles.shiyu3,'时间');
ylabel(handles.shiyu3,'幅度');
title(handles.shiyu3,'加噪的时域图');
plot(handles.pinyu3,freq,abs(fftshift(F)));
xlabel(handles.pinyu3,'圆频率');
ylabel(handles.pinyu3,'幅度');
title(handles.pinyu3,'加噪的频谱图');
sound(VNnoise,fs);

22.编辑“去噪”功能

 

function qu_Callback(hObject, eventdata, handles)
% hObject    handle to qu (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
qfs=handles.Fs;
X=handles.y1;
y=X(:,1);  %取一行提取矩阵
n=0.2*sin(pi*20000*(1:length(y))/qfs)+0.3*sin(pi*21000*(1:length(y))/qfs)+0.4*sin(pi*22000*(1:length(y))/qfs);%噪声 10000rad/s+10500+11000
jz=y+n';%向量维度一致
%[b,a] = butter(8,5000*2/fs,'LOW') ;   %巴特沃斯滤波器
%result=filter(b,a,VNnoise);
Hd = ditong1;%Fdatool滤波
result=filter(Hd,X);
result=result(:,1);
sound(result,qfs);
F = fft(result);
freq = linspace(-qfs/2,qfs/2,length(result)+1);
freq(end) = [];
t1=1:length(result);
t=t1/qfs;
plot(handles.shiyu4,t,result)
xlabel(handles.shiyu4,'时间');
ylabel(handles.shiyu4,'幅度');
title(handles.shiyu4,'去噪的时域图');
plot(handles.pinyu4,freq,abs(fftshift(F)));
xlabel(handles.pinyu4,'频率');
ylabel(handles.pinyu4,'幅度');
title(handles.pinyu4,'去噪的频谱图');

 

23.编辑“回声”功能

 

% --- Executes on button press in hui.
function hui_Callback(hObject, eventdata, handles)
% hObject    handle to hui (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
fs=handles.Fs;
y=handles.y1;
x1=[zeros(9000,1);y];
x2=[y;zeros(9000,1)];
z=x1+x2;
sound(2*z,fs);
F=fft(z);
f=linspace(-fs/2,fs/2,length(z)+1);
f(end) = [];
t1=1:length(z);
t=t1/fs;
plot(handles.shiyu2,t,z);
title(handles.shiyu2,'加入回音时域图');
xlabel(handles.shiyu2,'时间');
ylabel(handles.shiyu2,'幅度');
plot(handles.pinyu2,f,abs(F));
xlabel(handles.pinyu2,'圆频率');
ylabel(handles.pinyu2,'幅度');
title(handles.pinyu2,'加入回音频谱图');
sound(z,fs);

 

24.编辑“去回声”功能

 

% --- Executes on button press in lv.
function lv_Callback(hObject, eventdata, handles)
% hObject    handle to lv (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
fs=handles.Fs;
y=handles.y1;
N=length(y);
x1=[zeros(9000,1);y];
x2=[y;zeros(9000,1)];
z=x1+x2;
b=1;
a=zeros(1,N);
a(1)=1;
a(9001)=1;
z2=filter(b,a,z);
F=fft(z2);
f=linspace(-fs/2,fs/2,length(z2)+1);
f(end) = [];
t1=1:length(z2);
t=t1/fs;
plot(handles.shiyu4,t,z2);
title(handles.shiyu4,'滤除回音时域图');
xlabel(handles.shiyu4,'时间');
ylabel(handles.shiyu4,'幅度');
plot(handles.pinyu4,f,abs(F));
xlabel(handles.pinyu4,'频率');
ylabel(handles.pinyu4,'幅度');
title(handles.pinyu4,'滤除回音频谱图');
sound(z2,fs);

 

25.编辑“男女声转化”功能

 

% --- Executes on button press in nv.
function nv_Callback(hObject, eventdata, handles)
% hObject    handle to nv (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
FL =  80 ;               % 帧移
WL = 240 ;               % 窗长
    P = 10 ;                 %预测系数个数
    s = handles.y1;
fs = handles.Fs;
% 定义常数
    s = s/max(s);             % 归一化
    L = length(s);            % 读入语音长度
    FN = floor(L/FL)-2;       % 计算帧长，floor；向负无穷方向
% 预测和重建滤波器
exc = zeros(L,1);         % 激励信号，double类零矩阵L行1列
zi_pre = zeros(P,1);      % 预测滤波器状态
s_rec = zeros(L,1);       % 重建语音
zi_rec = zeros(P,1);
% 变调滤波器
exc_syn_t = zeros(L,1);   % 合成的激励信号，创建一个L行1列的0脉冲
s_syn_t = zeros(L,1);     % 合成语音
last_syn_t = 0;           % 存储上一个段的最后一个脉冲的下标
zi_syn_t = zeros(P,1);    % 合成滤波器
hw = hamming(WL);         %汉明窗
%滤波器
% 依次处理每帧语音
for n = 3:FN             %从第三个子数组开始
% 计算预测系数
s_w = s(n*FL-WL+1:n*FL).*hw;    %汉明窗加权
        [A,E]=lpc(s_w,P);               %线性预测计算预测系数
% A是预测系数，E会被用来计算合成激励的能量
s_f=s((n-1)*FL+1:n*FL);        % 本帧语音  
%利用filter函数重建语音
[exc1,zi_pre] = filter(A,1,s_f,zi_pre); 
exc((n-1)*FL+1:n*FL) = exc1;           %计算激励
%利用filter函数重建语音
        [s_rec1,zi_rec] = filter(1,A,exc1,zi_rec);
s_rec((n-1)*FL+1:n*FL) = s_rec1; %重建语音
% 下面只有得到exc后才可以
s_Pitch = exc(n*FL-222:n*FL);
        PT(n) = findpitch(s_Pitch);    %计算基音周期pt
        G = sqrt(E*PT(n));            %计算合成激励的能量G
  PT1 =floor(PT(n)/2);    %减小基音周期
poles = roots(A);
deltaOMG =100*2*pi/fs;

for p=1:10   %增加共振峰
if imag(poles(p))>0
poles(p) = poles(p)*exp(1j*deltaOMG);
elseif imag(poles(p))<0 
poles(p) = poles(p)*exp(-1j*deltaOMG);
end
end
 A1=poly(poles);
 tempn_syn_t=(1:n*FL-last_syn_t);
        exc_syn1_t = zeros(length(tempn_syn_t),1);
        exc_syn1_t(mod(tempn_syn_t,PT1)==0) = G; 
        exc_syn1_t = exc_syn1_t((n-1)*FL-last_syn_t+1:n*FL-last_syn_t);
        [s_syn1_t,zi_syn_t] = filter(1,A1,exc_syn1_t,zi_syn_t);
exc_syn_t((n-1)*FL+1:n*FL) = exc_syn1_t;        %合成激励
s_syn_t((n-1)*FL+1:n*FL) = s_syn1_t;            %合成语音
last_syn_t = last_syn_t+PT1*floor((n*FL-last_syn_t)/PT1);
end
Y = s_syn_t;
F = fft(Y);
freq = linspace(-fs/2,fs/2,length(Y)+1);
freq(end) = [];
plot(handles.pinyu2,freq,abs(fftshift(F)));
     xlabel(handles.pinyu2,'圆频率');
     ylabel(handles.pinyu2,'幅度');
     title(handles.pinyu2,'频率特性');
     handles.y=s_syn_t;
     guidata(hObject,handles);
plot(handles.shiyu2,s_syn_t);
    t1=1:length(s_syn_t);
    t=t1/8000;
    plot(handles.shiyu2,t,s_syn_t);
    title(handles.shiyu2,'时域图');
    xlabel(handles.shiyu2,'时间');
    ylabel(handles.shiyu2,'幅度');
    sound(handles.y,8000); 

三、导出GUI界面为可执行文件

1.在命令行中输入“deploytool”

 

2.在弹出的窗口中选择第一个

 3.选择文件，填写信息

 4.填写完毕后，package的√会变绿，点击√

 5.保存工程

 

6.等候打包

7.生成.exe文件

8.完成