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 functionalDSPhandles.output = hObject;% Update handles structureguidata(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0return;endstr=[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y1handles.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0return;endstr=[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y1handles.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)
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+11000jz=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))>0poles(p) = poles(p)*exp(1j*deltaOMG);elseif imag(poles(p))<0 poles(p) = poles(p)*exp(-1j*deltaOMG);endend 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);endY = 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