语音识别matlab GUI

function varargout = speechrecognition(varargin) % SPEECHRECOGNITION MATLAB code for speechrecognition.fig % SPEECHRECOGNITION, by itself, creates a new SPEECHRECOGNITION or raises the existing % singleton*. % % H = SPEECHRECOGNITION returns the handle to a new SPEECHRECOGNITION or the handle to % the existing singleton*. % % SPEECHRECOGNITION('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in SPEECHRECOGNITION.M with the given input arguments. % % SPEECHRECOGNITION('Property','Value',...) creates a new SPEECHRECOGNITION or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before speechrecognition_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to speechrecognition_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 speechrecognition % Last Modified by GUIDE v2.5 02-Jun-2018 19:49:50 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @speechrecognition_OpeningFcn, ... 'gui_OutputFcn', @speechrecognition_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 speechrecognition is made visible. function speechrecognition_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 speechrecognition (see VARARGIN) % Choose default command line output for speechrecognition global sc Fs1 t1 myRecording3 t2 Nmn Nm name1 j ii name2 mode55 mode44 mode55=0; mode44=0; ii=1; if isempty(get(handles.edit3,'string')) name1=cell(10); name2=cell(10); else name1=cell(1,str2double(get(handles.edit3,'string'))); name2=cell(1,str2double(get(handles.edit3,'string'))); end j=1; sc=''; set(handles.listbox1,'string',num2str(sc),'fontsize',10); handles.output = hObject; A='请设置需要进行语音识别和训练的参数：'; B='设置完成请点击开始按钮进行语音识别模板库的录音：'; C='请注意以下几点：'; D='①可以自定义模板库：需要数量与设置的数量一致；'; E='②注意模板文件的录音间隔为3秒；'; F='③录取过程中如果出错需要全部重新录取，因此尽量不要出错；'; G='④自定义的文件需要保存在当前目录的设置的文件夹下面，比如：njh+数字.wav的形式。'; sc=[sc,A,10]; sc=[sc,B,10]; sc=[sc,C,10]; sc=[sc,D,10]; sc=[sc,E,10]; sc=[sc,F,10]; sc=[sc,G,10]; set(handles.listbox1,'string',num2str(sc),'fontsize',10,'fontname','KaiTi'); h = handles.figure1; %返回其句柄 newIcon = javax.swing.ImageIcon('iconcumt.jpg'); figFrame = get(h,'JavaFrame'); %取得Figure的JavaFrame。 figFrame.setFigureIcon(newIcon); % Update handles structure guidata(hObject, handles); % UIWAIT makes speechrecognition wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = speechrecognition_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 selection change in listbox1. function listbox1_Callback(hObject, eventdata, handles) % hObject handle to listbox1 (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 listbox1 contents as cell array % contents{get(hObject,'Value')} returns selected item from listbox1 % --- Executes during object creation, after setting all properties. function listbox1_CreateFcn(hObject, eventdata, handles) % hObject handle to listbox1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: listbox 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 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) global sc Fs1 t1 myRecording3 t2 Nmn Nm name1 j ii name2 t2=str2double(get(handles.edit5,'string')); Fs1=16000; n=1; recObj = audiorecorder(Fs1,16,n); start='开始录取待识别语音'; set(handles.edit6,'string',num2str(start)); recordblocking(recObj, t2); %保存5秒 set(handles.edit6,'string',''); end1='结束录音'; set(handles.edit6,'string',num2str(end1)); myRecording3 = getaudiodata(recObj); % --- 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) global sc Fs1 t1 myRecording3 t2 Nmn Nm name1 j ii name2 Nmn=str2double(get(handles.edit2,'string')); Nm=str2double(get(handles.edit3,'string')); t1=str2double(get(handles.edit4,'string')); t2=str2double(get(handles.edit5,'string')); Fs1=16000; ncoeff = 12; %MFCC参数阶数 N = Nmn; %10个数字 fs=Fs1; %采样频率 k = Nm; %训练样本的人数 speechIn3=myRecording3; speechIn3 = my_vad(speechIn3); %端点检测 rMatrix1 = mfccf(ncoeff,speechIn3,fs); %采用MFCC系数作为特征矢量 rMatrix = CMN(rMatrix1); %归一化处理 axes(handles.axes1); plot(speechIn3); namen1='待识别的语音'; set(handles.text2,'string',num2str(namen1)); Sco = DTWScores(rMatrix,Nmn,Nm) ; %计算DTW值 [SortedScores,EIndex] = sort(Sco,2); %按行递增排序，并返回对应的原始次序 Nbr = EIndex(:,1:2); %得到每个模板匹配的2个最低值对应的次序 [Modal,Freq] = mode(Nbr(:)); %返回出现频率最高的数Modal及其出现频率Freq Word = char('0','1','2','3','4','5','6','7','8','9','中','国','矿','业','大','学','信','控','学','院'); if mean(abs(speechIn3)) < 0.01 TT='识别结果为：'; DD='没有麦克风连接，或者你什么都没说。'; sc=[sc,TT,10]; sc=[sc,DD,10]; set(handles.listbox1,'string',num2str(sc),'fontsize',10,'fontname','KaiTi'); elseif (Freq <2) %频率太低不确定 TT='识别结果为：'; FF='你所说的话不能被正确地认识。'; sc=[sc,TT,10]; sc=[sc,FF,10]; set(handles.listbox1,'string',num2str(sc),'fontsize',10,'fontname','KaiTi'); else TT='识别结果为：'; GG=['识别结果',Word(Modal,:)]; sc=[sc,TT,10]; sc=[sc,GG,10]; set(handles.listbox1,'string',num2str(sc),'fontsize',10,'fontname','KaiTi'); end % --- Executes on button press in pushbutton6. function pushbutton6_Callback(hObject, eventdata, handles) % hObject handle to pushbutton6 (see GCBO) % eventdata