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

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

时间：2021-09-22 15:05:27

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- 18:26:21% Begin initialization code - DO NOT EDITgui_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_projecthandles.output = hObject;% Update handles structureguidata(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 structurevarargout{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