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①Matlab语音处理(进阶版)
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⛄一、语音信号端点检测+倒谱法+自相关法特征提取简介 (附课程作业报告)
(1)利用Windows下的录音机或其他软件,录制一段自己的语音信号,时间控制在1s左右,并对录制的信号进行采样。
(2)语音信号的频谱分析,画出采样后语音信号的时域波形和频谱图。
(3)将信号加入延时和混响,再分析其频谱,并与原始信号频谱进行比较。
(4)设计几种特殊类型的滤波器:单回声滤波器,多重回声滤波器,无限个回声滤波器,全通结构的混响器,并画出滤波器的频域响应。
(5)用自己设计的滤波器对采集的语音信号进行滤波。
(6)分析得到信号的频谱,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,分析信号的变化。
(7)回放语音信号。
⛄二、部分源代码
function varargout = design2(varargin)
% DESIGN2 M-file for design2.fig
% DESIGN2, by itself, creates a new DESIGN2 or raises the existing
% singleton*.
%
% H = DESIGN2 returns the handle to a new DESIGN2 or the handle to
% the existing singleton*.
%
% DESIGN2(‘CALLBACK’,hObject,eventData,handles,…) calls the local
% function named CALLBACK in DESIGN2.M with the given input arguments.
%
% DESIGN2(‘Property’,‘Value’,…) creates a new DESIGN2 or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before design2_OpeningFunction gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to design2_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
% Copyright 2002-2003 The MathWorks, Inc.
% Edit the above text to modify the response to help design2
% Last Modified by GUIDE v2.5 17-Dec-2009 19:48:19
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct(‘gui_Name’, mfilename, …
‘gui_Singleton’, gui_Singleton, …
‘gui_OpeningFcn’, @design2_OpeningFcn, …
‘gui_OutputFcn’, @design2_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 design2 is made visible.
function design2_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 design2 (see VARARGIN)
% Choose default command line output for design2
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes design2 wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% — Outputs from this function are returned to the command line.
function varargout = design2_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 only.
function only_Callback(hObject, eventdata, handles)
% hObject handle to only (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
[x,fs]=audioread(‘GDGvoice8000.wav’,[500 50000]);
%[x,fs,bits]=wavread(‘44.wav’,50000);
x=x(:,1);
%sound(x,fs);
n1=0:2000;
N=size(x,1);
z=[zeros(100,1);x];
k=[x;zeros(100,1)];
a=0.5;
y2=k+z*0.5;
figure(2);
subplot(2,1,1);
plot(y2);
title(’ ʱ ͼ’,‘fontname’,’ ‘);
Y2=fft(y2,2001);
subplot(2,1,2);
plot(n1(1:1000),Y2(1:1000));
title(’ ˲ Ƶ ͼ ‘,‘fontname’,’ ');
sound(y2,fs);
% — Executes on button press in many.
function many_Callback(hObject, eventdata, handles)
% hObject handle to many (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
[x,fs]=audioread(‘GDGvoice8000.wav’,[500 50000]);
%[x,fs,bits]=wavread(‘44.wav’,50000);
x=x(:,1);
sound(x,fs);
n1=0:2000;
N=size(x,1);
z=[zeros(100,1);x];
k=[x;zeros(100,1)];
a=0.5;
Bz=[0,0,0,0,0,0,0,0,0,0,1];
Az=[1,0,0,0,0,0,0,0,0,0,-a];
yy1=filter(Bz,Az,k);
⛄三、运行结果




⛄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.
[3]宋云飞,姜占才,魏中华.基于MATLAB GUI的语音处理界面设计[J].科技信息. 2013,(02)
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