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欢迎来到海神之光博客之家✅博主简介热爱科研的Matlab仿真开发者修心和技术同步精进个人主页海神之光代码获取方式海神之光Matlab王者学习之路—代码获取方式⛳️座右铭行百里者半于九十。更多Matlab语音处理仿真内容点击①Matlab语音处理 进阶版②付费专栏Matlab语音处理初级版⛳️关注微信公众号Matlab王者助手或Matlab海神之光更多资源等你来⛄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-2022 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fnamefullfile(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’ ) ;T0;h waitbar(0,‘正在训练请稍等…’);for i0:9fnamefullfile(file_path,sprintf(‘%d0.wav’,i));[k,fs]wavread(fname);[StartPoint,EndPoint]vad(k,fs);ccmfcc(k);cccc(StartPoint-2:EndPoint-2,:);ref(i1).StartPointStartPoint;ref(i1).EndPointEndPoint;ref(i1).mfcccc;waitbar( i/9 ) ;end⛄三、运行结果⛄四、matlab版本及参考文献1 matlab版本2014a2 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2019.3 备注简介此部分摘自互联网仅供参考若侵权联系删除 仿真咨询1 各类智能优化算法改进及应用生产调度、经济调度、装配线调度、充电优化、车间调度、发车优化、水库调度、三维装箱、物流选址、货位优化、公交排班优化、充电桩布局优化、车间布局优化、集装箱船配载优化、水泵组合优化、解医疗资源分配优化、设施布局优化、可视域基站和无人机选址优化2 机器学习和深度学习方面卷积神经网络CNN、LSTM、支持向量机SVM、最小二乘支持向量机LSSVM、极限学习机ELM、核极限学习机KELM、BP、RBF、宽度学习、DBN、RF、RBF、DELM、XGBOOST、TCN实现风电预测、光伏预测、电池寿命预测、辐射源识别、交通流预测、负荷预测、股价预测、PM2.5浓度预测、电池健康状态预测、水体光学参数反演、NLOS信号识别、地铁停车精准预测、变压器故障诊断3 图像处理方面图像识别、图像分割、图像检测、图像隐藏、图像配准、图像拼接、图像融合、图像增强、图像压缩感知4 路径规划方面旅行商问题TSP、车辆路径问题VRP、MVRP、CVRP、VRPTW等、无人机三维路径规划、无人机协同、无人机编队、机器人路径规划、栅格地图路径规划、多式联运运输问题、车辆协同无人机路径规划、天线线性阵列分布优化、车间布局优化5 无人机应用方面无人机路径规划、无人机控制、无人机编队、无人机协同、无人机任务分配6 无线传感器定位及布局方面传感器部署优化、通信协议优化、路由优化、目标定位优化、Dv-Hop定位优化、Leach协议优化、WSN覆盖优化、组播优化、RSSI定位优化7 信号处理方面信号识别、信号加密、信号去噪、信号增强、雷达信号处理、信号水印嵌入提取、肌电信号、脑电信号、信号配时优化8 电力系统方面微电网优化、无功优化、配电网重构、储能配置9 元胞自动机方面交通流 人群疏散 病毒扩散 晶体生长10 雷达方面卡尔曼滤波跟踪、航迹关联、航迹融合 【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】
欢迎来到海神之光博客之家✅博主简介热爱科研的Matlab仿真开发者修心和技术同步精进个人主页海神之光代码获取方式海神之光Matlab王者学习之路—代码获取方式⛳️座右铭行百里者半于九十。更多Matlab语音处理仿真内容点击①Matlab语音处理 进阶版②付费专栏Matlab语音处理初级版⛳️关注微信公众号Matlab王者助手或Matlab海神之光更多资源等你来⛄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-2022 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fnamefullfile(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’ ) ;T0;h waitbar(0,‘正在训练请稍等…’);for i0:9fnamefullfile(file_path,sprintf(‘%d0.wav’,i));[k,fs]wavread(fname);[StartPoint,EndPoint]vad(k,fs);ccmfcc(k);cccc(StartPoint-2:EndPoint-2,:);ref(i1).StartPointStartPoint;ref(i1).EndPointEndPoint;ref(i1).mfcccc;waitbar( i/9 ) ;end⛄三、运行结果⛄四、matlab版本及参考文献1 matlab版本2014a2 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2019.3 备注简介此部分摘自互联网仅供参考若侵权联系删除 仿真咨询1 各类智能优化算法改进及应用生产调度、经济调度、装配线调度、充电优化、车间调度、发车优化、水库调度、三维装箱、物流选址、货位优化、公交排班优化、充电桩布局优化、车间布局优化、集装箱船配载优化、水泵组合优化、解医疗资源分配优化、设施布局优化、可视域基站和无人机选址优化2 机器学习和深度学习方面卷积神经网络CNN、LSTM、支持向量机SVM、最小二乘支持向量机LSSVM、极限学习机ELM、核极限学习机KELM、BP、RBF、宽度学习、DBN、RF、RBF、DELM、XGBOOST、TCN实现风电预测、光伏预测、电池寿命预测、辐射源识别、交通流预测、负荷预测、股价预测、PM2.5浓度预测、电池健康状态预测、水体光学参数反演、NLOS信号识别、地铁停车精准预测、变压器故障诊断3 图像处理方面图像识别、图像分割、图像检测、图像隐藏、图像配准、图像拼接、图像融合、图像增强、图像压缩感知4 路径规划方面旅行商问题TSP、车辆路径问题VRP、MVRP、CVRP、VRPTW等、无人机三维路径规划、无人机协同、无人机编队、机器人路径规划、栅格地图路径规划、多式联运运输问题、车辆协同无人机路径规划、天线线性阵列分布优化、车间布局优化5 无人机应用方面无人机路径规划、无人机控制、无人机编队、无人机协同、无人机任务分配6 无线传感器定位及布局方面传感器部署优化、通信协议优化、路由优化、目标定位优化、Dv-Hop定位优化、Leach协议优化、WSN覆盖优化、组播优化、RSSI定位优化7 信号处理方面信号识别、信号加密、信号去噪、信号增强、雷达信号处理、信号水印嵌入提取、肌电信号、脑电信号、信号配时优化8 电力系统方面微电网优化、无功优化、配电网重构、储能配置9 元胞自动机方面交通流 人群疏散 病毒扩散 晶体生长10 雷达方面卡尔曼滤波跟踪、航迹关联、航迹融合