★ FEATURED ARTICLE 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、语音处理简介MATLAB GUI是用户与计算机或计算机程序的接触点或交互方式,是用户与计算机进行信息交流的方式。图形用户界面Graphical User Interfaces,GUI则是由窗口、光标、按键、菜单、文字说明等对象Object构成的一个用户界面。用户通过一定的方法如鼠标或键盘选择、激活这些图形对象,使计算机产生某种动作或变化,比如实现计算、绘图等。本设计基于MATLAB GUI技术,完成了语音信号处理的界面平台,可进行语音的选取、线性预测分析LPC、语谱图、频谱等相关波形的显示。这样可以更直观、更方便地分析和处理语音信号,得到用户需要的实验结果。具体理论知识参考基于MATLAB GUI的语音处理界面设计⛄二、部分源代码function varargout SpectrumAnalysis(varargin)% SPECTRUMANALYSIS MATLAB code for SpectrumAnalysis.fig% SPECTRUMANALYSIS, by itself, creates a new SPECTRUMANALYSIS or raises the existing% singleton*.%% H SPECTRUMANALYSIS returns the handle to a new SPECTRUMANALYSIS or the handle to% the existing singleton*.%% SPECTRUMANALYSIS(‘CALLBACK’,hObject,eventData,handles,…) calls the local% function named CALLBACK in SPECTRUMANALYSIS.M with the given input arguments.%% SPECTRUMANALYSIS(‘Property’,‘Value’,…) creates a new SPECTRUMANALYSIS or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before SpectrumAnalysis_OpeningFcn gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to SpectrumAnalysis_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 SpectrumAnalysis% Last Modified by GUIDE v2.5 02-Nov-2011 15:49:23% Begin initialization code - DO NOT EDITgui_Singleton 1;gui_State struct(‘gui_Name’, mfilename, …‘gui_Singleton’, gui_Singleton, …‘gui_OpeningFcn’, SpectrumAnalysis_OpeningFcn, …‘gui_OutputFcn’, SpectrumAnalysis_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 SpectrumAnalysis is made visible.function SpectrumAnalysis_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 SpectrumAnalysis (see VARARGIN)% Choose default command line output for SpectrumAnalysishandles.output hObject;xlabel(handles.axes1,‘Time (s)’,‘fontweight’,‘bold’);xlabel(handles.axes2,‘Freqency (Hz)’,‘fontweight’,‘bold’);xlabel(handles.axes3,‘Freqency (Hz)’,‘fontweight’,‘bold’);ylabel(handles.axes1,‘Amplitude’,‘fontweight’,‘bold’);ylabel(handles.axes2,‘Amplitude’,‘fontweight’,‘bold’);ylabel(handles.axes3,‘Amplitude’,‘fontweight’,‘bold’);% Update handles structureguidata(hObject, handles);% UIWAIT makes SpectrumAnalysis wait for user response (see UIRESUME)% uiwait(handles.figure1);% — Outputs from this function are returned to the command line.function varargout SpectrumAnalysis_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 edit_Fs_Callback(hObject, eventdata, handles)% hObject handle to edit_Fs (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,‘String’) returns contents of edit_Fs as text% str2double(get(hObject,‘String’)) returns contents of edit_Fs as a double% — Executes during object creation, after setting all properties.function edit_Fs_CreateFcn(hObject, eventdata, handles)% hObject handle to edit_Fs (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’);endfunction edit_TestA_Callback(hObject, eventdata, handles)% hObject handle to edit_TestA (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,‘String’) returns contents of edit_TestA as text% str2double(get(hObject,‘String’)) returns contents of edit_TestA as a double% — Executes during object creation, after setting all properties.function edit_TestA_CreateFcn(hObject, eventdata, handles)% hObject handle to edit_TestA (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’);endfunction edit_TestF_Callback(hObject, eventdata, handles)% hObject handle to edit_TestF (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,‘String’) returns contents of edit_TestF as text% str2double(get(hObject,‘String’)) returns contents of edit_TestF as a double% — Executes during object creation, after setting all properties.function edit_TestF_CreateFcn(hObject, eventdata, handles)% hObject handle to edit_TestF (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⛄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]宋云飞,姜占才,魏中华.基于MATLAB GUI的语音处理界面设计[J].科技信息. 2013,(02)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
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