【毕业设计系列】语音信号的采集与分析研究系统matlab GUI设计

Date: 2022-4-10

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前言

    通过Matlab语言 GUI界面实现语音信号的采集、预处理、时域分析、频域分析以及倒谱分析等处理。

1、Matlab GUI实现代码

这里仅提供了语音采集的部分代码，需要完整代码可以QQ（2963033731）联系我。

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

% Last Modified by GUIDE v2.5 16-Apr-2019 19:49:16

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

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

% Update handles structure
guidata(hObject, handles);

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


% --- Outputs from this function are returned to the command line.
function varargout = Audio_Analysis_System_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;


% --------------------------------------------------------------------
function Untitled_3_Callback(hObject, eventdata, handles) %%语音采集
% hObject    handle to Untitled_3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

fs=44100;
uiwait(msgbox('开始录音！'));%开始录音对话框 
recorder=audiorecorder(44100,16,1);%设置采样频率、采样位数、通道数
recordblocking(recorder,4.0);%设置声音记录时间为 4s 
samples = getaudiodata(recorder);%存储声音数据“我爱你中国”
audiowrite('yuyin3.wav', samples,fs ); % 以yuyin2.wav 为文件名
uiwait(msgbox('录音结束！'));%录音结束对话框
handles.samples = samples;  %保存语音数据
handles.fs = fs;
axes(handles.axes1);
%ee=samples(1500:2000);  %选取原始文件x的第1500至2000点的语音
plot(samples,'k');title('原始语音信号');
xlabel('样点数');ylabel('幅度');
guidata(hObject, handles);

2、实验效果图

1）、初始化界面：

image.png

2）预加重处理：

image.png

3）加窗处理：

image.png

4）时域分析（短时过零率）：

image.png

5）频域分析（短时频带方差值）：

image.png

6）倒谱分析：

image.png

image.png

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THE END!