【语音增强】基于matlab GUI维纳滤波语音增强【含Matlab源码 298期】

一、简介

本章提出了一种语音增强算法，该算法以基于先验信噪比估计的维纳滤波法为基础。通过计算无声段的统计平均得到初始噪声功率谱,并平滑处理初始噪声功率谱和带噪语音功率谱，更新了噪声功率谱；最后，考虑了某频率点处噪声急剧增大的情况，做了相关验证，该算法能有效地抑制变化范围不大或是稳定的噪声，但是对实际中的变化范围很广的噪声效果不是很好。
1、语音增强概述
1.1 语音增强的相关概念
嵌在语音系统中，语音信号不可避免的会受到周围噪声的干扰，从而影响语音的质量与可懂度。
语音增强：其实就是带噪语音中提取尽可能纯净的语音，改善语音质量和可懂度，提高噪声环境下语音通信系统的性能。
噪声都随机产生的，不可能完全消除。语音增强的目标是：减弱噪声、消除背景噪声、改进语音质量、使听着乐于接受，提高语音可懂度。
1.2 语音增强的相关算法
由于噪声来源众多，特性各不相同。语音增强处理系统的应用场合千差万别。
因此，不存在一种可以通用于各种噪声环境的语音增强算法。针对不同的环境，采取不同的语音增强算法。
语音增强算法按处理方式可以分为：基于语音周期性的增强算法，基于全极点模型的增强算法，基于短时谱估计的增强算法，基于信号子空间的增强算法和
基于HMM的增强算法。
从目前的发展来看，基于短时谱估计的方法是最有效的方法。具体包括谱减法、维纳滤波、最小均方误差短时谱幅度估计法（MMSE-STSA）和最小均方误差对数谱幅度估计法（MMSE-LSA）。本文主要讨论使用维纳滤波器实现语音的增强处理。
2 基于先验信噪比估计的维纳滤波语音增强理论
先验信噪比是语音增强算法中非常重要的参数。通过Ephraim和 Malah提出的“直接判决”估计来计算先验信噪比的方法是最有效的和最容易计算的。

二、源代码

function varargout = adsp_project(varargin)
% ADSP_PROJECT MATLAB code for adsp_project.fig
%      ADSP_PROJECT, by itself, creates a new ADSP_PROJECT or raises the existing
%      singleton*.
%
%      H = ADSP_PROJECT returns the handle to a new ADSP_PROJECT or the handle to
%      the existing singleton*.
%
%      ADSP_PROJECT('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in ADSP_PROJECT.M with the given input arguments.
%
%      ADSP_PROJECT('Property','Value',...) creates a new ADSP_PROJECT or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before adsp_project_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to adsp_project_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 adsp_project% Last Modified by GUIDE v2.5 15-Dec-2014 18:26:21% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...'gui_Singleton',  gui_Singleton, ...'gui_OpeningFcn', @adsp_project_OpeningFcn, ...'gui_OutputFcn',  @adsp_project_OutputFcn, ...'gui_LayoutFcn',  [] , ...'gui_Callback',   []);
if nargin && ischar(varargin{1})gui_State.gui_Callback = str2func(varargin{1});
endif nargout[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
elsegui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT% --- Executes just before adsp_project is made visible.
function adsp_project_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 adsp_project (see VARARGIN)% Choose default command line output for adsp_project
handles.output = hObject;% Update handles structure
guidata(hObject, handles);% UIWAIT makes adsp_project wait for user response (see UIRESUME)
% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.
function varargout = adsp_project_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 pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)global xk;
global fs;global noise_type;noise_type=1;
[FileName,PathName] = uigetfile('*.wav','Select the voice-file');
[x,fs]=wavread(FileName);
ls=length(x);xk=x(1:ls);set(handles.text_fs,'string',num2str(fs));
set(handles.text_ls,'string',num2str(ls));axes(handles.axes_freq);%xaxis1=linspace(0,0.5,250);
plot(abs(fft(xk)));  %xk 音频的句柄 用来做按键响应函数
axis([0,14000,0,300]) ;axes(handles.axes_wave);%xaxis1=linspace(0,0.5,250);
h_xk=plot(xk);  %xk 音频的句柄 用来做按键响应函数
axis([0,30000,-1.5,1.5]) ;set(h_xk,'ButtonDownFcn',@axes_waveCallback);%grid on;
%set(gca,'xtick',(0:0.02:0.5),'ytick',[0:100:500]);
%axis([0.25 0.45 0 500]);% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
global xk;
global SNR;
global fs;
global xs;
global noise_type;noise_type=1;%高斯噪声
SNR_slider=get(handles.slider_SNR,'value');
SNR_slider=floor(SNR_slider);
SNR=num2str(SNR_slider);
set(handles.text_snr,'string',SNR);
xs=awgn(xk,SNR_slider,0);%加入高斯白噪声，信噪比30axes(handles.axes_freq);
plot(abs(fft(xs)));  %xk 音频的句柄 用来做按键响应函数
axis([0,14000,0,300]) ;axes(handles.axes_noise);h_xs=plot(xs);
axis([0,30000,-1.5,1.5]) ;
set(h_xs,'ButtonDownFcn',@axes_noiseCallback);% hObject    handle to pushbutton2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% --- Executes on button press in pushbutton3.% hObject    handle to pushbutton3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% --- Executes on selection change in popupmenu1.
function popupmenu1_Callback(hObject, eventdata, handles)
% hObject    handle to popupmenu1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu1 contents as cell array
%        contents{get(hObject,'Value')} returns selected item from popupmenu1% --- Executes during object creation, after setting all properties.
function popupmenu1_CreateFcn(hObject, eventdata, handles)
% hObject    handle to popupmenu1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called% Hint: popupmenu controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))set(hObject,'BackgroundColor','white');
end% --- Executes on key press with focus on pushbutton1 and none of its controls.
function pushbutton1_KeyPressFcn(hObject, eventdata, handles)% hObject    handle to pushbutton1 (see GCBO)
% eventdata  structure with the following fields (see UICONTROL)
%   Key: name of the key that was pressed, in lower case
%   Character: character interpretation of the key(s) that was pressed
%   Modifier: name(s) of the modifier key(s) (i.e., control, shift) pressed
% handles    structure with handles and user data (see GUIDATA)% --- If Enable == 'on', executes on mouse press in 5 pixel border.
% --- Otherwise, executes on mouse press in 5 pixel border or over pushbutton1.
function pushbutton1_ButtonDownFcn(hObject, eventdata, handles)
% hObject    handle to pushbutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% --- Executes on slider movement.
function slider2_Callback(hObject, eventdata, handles)% hObject    handle to slider2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)% Hints: get(hObject,'Value') returns position of slider
%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider% --- Executes during object creation, after setting all properties.
function slider2_CreateFcn(hObject, eventdata, handles)
% hObject    handle to slider2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))set(hObject,'BackgroundColor',[.9 .9 .9]);
end

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.