一、设计功能
- 录制音频，保存音频
- 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；
- 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；
- 实现语音信号的快放、慢放、倒放、男女变声；
- 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；
- 实现两音频的合成、拼接；
- 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)<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="" <span="" data-mce-bogus="1" class="mce-nbsp"> 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');</length(y2);>
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
开心洋葱 , 版权所有丨如未注明 , 均为原创丨未经授权请勿修改 , 转载请注明基于MATLAB的多功能语音处理器！
