Chapter 19 signal lamp image simulation control technology based on speech recognition

With the development of science and technology , Increased traffic flow on roads , Thus causing traffic congestion , Environmental pollution , And energy waste . The general solution is to expand the road, etc , However, due to the increase of urban population, roads are far from meeting the growth rate of vehicles . Therefore, intelligent transportation system is proposed , Various detection technologies and intelligent control algorithms are used to improve the traffic capacity of the road network . There is no doubt about it , In automotive intelligent technology 、 Automobile new energy technology 、 Automotive electronics is a race track for the best . The requirements of intelligent driving technology are also constantly improving .
Intelligent vehicle teaching platform 、 Intelligent network teaching platform 、 Automobile electronic teaching equipment 、 In the loop simulation system , At present, there are many mainstream systems , Common basic parts and algorithm development , Intelligent driving module , It is better to get started matlab platform .MATLAB/Simulink The two key parts of the are ：m The application of the language and the development of various toolkits .
The signal lamp image analog control technology based on speech recognition is presented in this paper , That is to say matlab Application of a set of visual programs developed on the platform .
The main program is as follows ：

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


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

% Choose default command line output for EmotionRec
handles.output = hObject;
addpath(fullfile(pwd, 'voicebox'));
clc;
axes(handles.axes1); cla reset; box on;
set(gca, 'XTick', [], 'YTick', [], ...
    'XTickLabel', '', 'YTickLabel', '', 'Color', [0.7020 0.7804 1.0000]);
set(handles.axes2, 'XTick', [], 'YTick', [], ...
    'XTickLabel', '', 'YTickLabel', '', 'Color', [0.7020 0.7804 1.0000], ...
    'Box', 'On');
handles.dirName = 0;
handles.S = 0;
handles.fileurl = 0;

% Update handles structure
guidata(hObject, handles);

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


% --- Outputs from this function are returned to the command line.
function varargout = EmotionRec_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)
% 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)
%%  Load voice library 
%  Database path 
dirName = './wav/Database';
dirName = uigetdir(dirName);
if isequal(dirName, 0)
    return;
end
msgbox(sprintf(' load %s success ！', dirName), ' Prompt information ');
handles.dirName = dirName;
guidata(hObject, handles);

% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% 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)
%%  Extract feature parameters 
if isequal(handles.dirName, 0)
    msgbox(' Please select the audio library Directory ', ' Prompt information ', 'modal');
    return;
end
S = GetDatabase(handles.dirName);
handles.S = S;
guidata(hObject, handles);
msgbox(' Audio signal feature extraction is completed ', ' Prompt information ', 'modal');

% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% 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)
%%  Select test file 
file = './wav/Test/1.wav';
[Filename, Pathname] = uigetfile('*.wav', ' Open a new voice file ',...
    file);
if Filename == 0
    return;
end
fileurl = fullfile(Pathname,Filename);
[signal, fs] = audioread(fileurl);
axes(handles.axes1); cla reset; box on;
plot(signal); title(' Voice signal to be recognized ', 'FontWeight', 'Bold');
msgbox(' Loading voice file succeeded ', ' Prompt information ', 'modal');
handles.fileurl = fileurl;
handles.signal = signal;
handles.fs = fs;
guidata(hObject, handles);

% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton4 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

%%  distinguish 
if isequal(handles.fileurl, 0)
    msgbox(' Please select an audio file ', ' Prompt information ', 'modal');
    return;
end
if isequal(handles.S, 0)
    msgbox(' Please calculate the audio library MFCC features ', ' Prompt information ', 'modal');
    return;
end
S = handles.S;
[num, MC] = Reco(S, handles.fileurl);
result = S(num).name;
result = result(1:2);
c = 'r';
switch result
    case ' open '
        c = 'r';
    case ' close '
        c = 'g';
    case ' continue '
        c = 'b';
    case ' Start '
        c = 'c';
    case ' stop it '
        c = 'y';
    case ' Pause '
        c = 'm';
end
PlotInfo(handles.axes2, c);
msgbox(' Identification complete ', ' Prompt information ', 'modal');


% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton5 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
%%  Play the test file 
if isequal(handles.fileurl, 0)
    msgbox(' Please select an audio file ', ' Prompt information ', 'modal');
    return;
end
sound(handles.signal, handles.fs);


% --- Executes on button press in pushbutton7.
function pushbutton7_Callback(hObject, eventdata, handles)
% hObject    handle to pushbutton7 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
%  Send control command button 
str = get(handles.textReconResult, 'String');
if isequal(strtrim(str), '')
    msgbox(' No control command ！', ' Prompt information ', 'modal');
    return;
end
str = sprintf(' Control command "%s" Has been sent ！', str);
msgbox(str, ' Prompt information ', 'modal');

Directory functions

Recognize sound processing .

Z Final effect

Partial subfunction ：

function [num, MC] = Reco(S, file)
MC = GetFeather(file);
N = [];
h = waitbar(0, '', 'Name', ' Audio recognition ...');
steps = length(MC);
for i = 1 : length(MC)
    mc = MC{
    i};  
    mindis = [];
    for j = 1 : length(S)
        MCJ = S(j).MC;     
        disk = [];
        for k = 1 : length(MCJ)
            mck = MCJ{
    k};
            disk(k) = norm(mc-mck);
        end
        mindis = [mindis min(disk)];
    end
    [mind, indd] = min(mindis(:));
    N = [N indd];
    waitbar(i/steps, h, sprintf(' Disposed of ：%d%%', round(i/steps*100)));
end
close(h);
Ni = [];
for i = 1 : length(S)
    Ni(i) = numel(find(N == i));    
end
[maxNi, ind] = max(Ni);
num = ind;

Subfunctions
enframe.m

function f=enframe(x,win,inc)
nx=length(x);
nwin=length(win);
if (nwin == 1)
   len = win;
else
   len = nwin;
end
if (nargin < 3)
   inc = len;
end
nf = fix((nx-len+inc)/inc);
f=zeros(nf,len);
indf= inc*(0:(nf-1)).';
inds = (1:len);
f(:) = x(indf(:,ones(1,len))+inds(ones(nf,1),:));
if (nwin > 1)
    w = win(:)';
    f = f .* w(ones(nf,1),:);
end

Get the characteristic subfunction
GetFeather.m

function MC = GetFeather(file, flag)
if nargin < 2
    flag = 0;
end
if nargin < 1
    file = '.\wav\Database\ close \ close _bsm.wav';
end
[signal, fs] = audioread(file);
framelength = 1024;
framenumber = fix(length(signal)/framelength);
for L = 1:framenumber;
    for m = 1:framelength;
        framedata(m) = signal((L-1)*framelength+m);
    end
    E(L) = sum(framedata.^2);
end
if flag
    figure; plot(E);
end
meanE = mean(E);
startflag=0;
startnum=0;
startframe=0;
endframe = 0;
S = [];
for L = 1 : framenumber
    if E(L) > meanE
        startnum = startnum+1;
        if startnum == 2
            startframe = L-2;
            startflag = 1;
        end
    end
    if E(L) < meanE
        if startflag == 1
            endframe = L-1;
            S = [S; startframe endframe];
            startflag = 0;
            startnum = 0;
        end
    end
end
if size(S, 1) > 1
    ms = min(S(:, 1));
    es = max(S(:, 2));
else
    ms = S(1);
    es = S(2);
end

MC = [];
snum = 1;
for i = ms : es
    si = (i-1)*framelength;
    ei = i*framelength;
    fi = signal(si:ei);
    mc = mfcc(fi,fs);
    MC{
    snum} = mc;
    snum = snum + 1;
end

Voice signal library

Sound processing function toolkit

The source code of this supporting document Download portal –=>
https://download.csdn.net/download/dongbao520/85695370