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900字范文 > 【语音识别】基于matlab GUI DTW MFCC 0-9数字语音识别(带面板)【含Matlab源码 385期】

【语音识别】基于matlab GUI DTW MFCC 0-9数字语音识别(带面板)【含Matlab源码 385期】

时间:2022-01-13 02:48:52

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【语音识别】基于matlab GUI DTW MFCC 0-9数字语音识别(带面板)【含Matlab源码 385期】

一、DTW简介(附课程作业报告)

一个应用DTW的说话人识别系统如图8-4所示。它是与文本有关的说话人确认系统。它采用的识别特征是BP FG(附听觉特征处理) , 匹配时采用DTW技术。其特点为:①在结构上基本沿用语音识别的系统。②利用使用过程中的数据修正原模板,即当在某次使用过程

中某说话人被正确确认时使用此时的输人特征对原模板作加权修改(一般用1/10加权)。

这样可使模板逐次趋于完善。

采样时间间隔为2.5ms,所存的字音模板数为15x16,即15个说话人各自的16个规定音。建立模板时,每个说话人对各字音各发音10次再经适当平均得到上述的各模板。在确认过程中,要求待确认者在他已知的116个字音中任选2~4个。先任选2个字,将2个字所得的“计分”(距离的倒数)相加,若已超过判决逻辑中所设定的阈值则予以肯定。否则,令待确认者另选16个字中其它字音并将计分加权累计,直到共发4个字音。若仍未达到阈值,则给以拒绝。

这里提供一个典型的实验结果:对于1732个真的待确认者,经此系统的错误拒绝率为

0.6%;对于630个假的待证实者,错误接受率为0.3%。当然,适当改变阈值可以调整这

两种比率。

二、部分源代码

function varargout = main(varargin)% MAIN MATLAB code for main.fig%MAIN, by itself, creates a new MAIN or raises the existing%singleton*.%%H = MAIN returns the handle to a new MAIN or the handle to%the existing singleton*.%%MAIN('CALLBACK',hObject,eventData,handles,...) calls the local%function named CALLBACK in MAIN.M with the given input arguments.%%MAIN('Property','Value',...) creates a new MAIN or raises the%existing singleton*. Starting from the left, property value pairs are%applied to the GUI before main_OpeningFcn gets called. An%unrecognized property name or invalid value makes property application%stop. All inputs are passed to main_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 main% Last Modified by GUIDE v2.5 08-Jan- 14:29:41% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name', mfilename, ...'gui_Singleton', gui_Singleton, ...'gui_OpeningFcn', @main_OpeningFcn, ...'gui_OutputFcn', @main_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 main is made visible.function main_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 main (see VARARGIN)% Choose default command line output for mainhandles.output = hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes main wait for user response (see UIRESUME)% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.function varargout = main_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;function edit1_Callback(hObject, eventdata, handles)% hObject handle to edit1 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)file_path = get( hObject , 'String' ) ;handles.file_path = file_path ;guidata( hObject , handles ) ;% Hints: get(hObject,'String') returns contents of edit1 as text% str2double(get(hObject,'String')) returns contents of edit1 as a double% --- Executes during object creation, after setting all properties.function edit1_CreateFcn(hObject, eventdata, handles)% hObject handle to edit1 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called% Hint: edit 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 pushbutton1.%%选择识别样本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)global file1 pathname[file1,pathname]=uigetfile('*.wav','请选择要识别的样本');%跳出对话框fname=fullfile(pathname,file1);[k,fs]=wavread(fname);sound(k,fs); %播放声音set(handles.edit3,'string','识别结果'); % --- Executes on button press in pushbutton2.%%开始训练按钮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)warning offfile_path = get( handles.edit1 , 'String' ) ;T=0;h = waitbar(0,'正在训练,请稍等...');for i=0:9fname=fullfile(file_path,sprintf('%d0.wav',i));[k,fs]=wavread(fname);[StartPoint,EndPoint]=vad(k,fs);cc=mfcc(k);cc=cc(StartPoint-2:EndPoint-2,:);ref(i+1).StartPoint=StartPoint;ref(i+1).EndPoint=EndPoint;ref(i+1).mfcc=cc;waitbar( i/9 ) ;end

三、运行结果

四、matlab版本及参考文献

1 matlab版本

a

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,.

[2]柳若边.深度学习:语音识别技术实践[M].清华大学出版社,.

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