用matlab的GUI进行0到9十个数字的语音识别的代码
时间: 2024-01-15 22:04:06 浏览: 19
以下是一个简单的MATLAB代码,用于实现0到9十个数字的语音识别的GUI界面:
```matlab
function varargout = digit_recognition_gui(varargin)
% DIGIT_RECOGNITION_GUI MATLAB code for digit_recognition_gui.fig
% DIGIT_RECOGNITION_GUI, by itself, creates a new DIGIT_RECOGNITION_GUI or raises the existing
% singleton*.
%
% H = DIGIT_RECOGNITION_GUI returns the handle to a new DIGIT_RECOGNITION_GUI or the handle to
% the existing singleton*.
%
% DIGIT_RECOGNITION_GUI('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in DIGIT_RECOGNITION_GUI.M with the given input arguments.
%
% DIGIT_RECOGNITION_GUI('Property','Value',...) creates a new DIGIT_RECOGNITION_GUI or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before digit_recognition_gui_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to digit_recognition_gui_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 digit_recognition_gui
% Last Modified by GUIDE v2.5 05-Oct-2021 13:14:09
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @digit_recognition_gui_OpeningFcn, ...
'gui_OutputFcn', @digit_recognition_gui_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 digit_recognition_gui is made visible.
function digit_recognition_gui_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 digit_recognition_gui (see VARARGIN)
% Choose default command line output for digit_recognition_gui
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes digit_recognition_gui wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = digit_recognition_gui_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 record_button.
function record_button_Callback(hObject, eventdata, handles)
% hObject handle to record_button (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Set up audio recording
recorder = audiorecorder;
disp('Recording...');
recordblocking(recorder, 2);
disp('Recording complete.');
% Get audio data
audio_data = getaudiodata(recorder);
% Save audio data to file
audiowrite('temp_audio_file.wav', audio_data, recorder.SampleRate);
% Load audio data
[x, fs] = audioread('temp_audio_file.wav');
% Extract MFCC features
mfccs = mfcc(x, fs);
% Train SVM classifier
labels = [0 1 2 3 4 5 6 7 8 9];
svm = fitcecoc(mfccs, labels);
% Predict digit label
predicted_label = predict(svm, mfccs);
% Display predicted label
set(handles.result_text, 'String', num2str(predicted_label));
% --- Executes during object creation, after setting all properties.
function result_text_CreateFcn(hObject, eventdata, handles)
% hObject handle to result_text (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
```
这个GUI界面包含一个按钮(record_button)和一个文本框(result_text)。当用户点击按钮时,程序将录制2秒钟的音频,提取MFCC特征,训练SVM分类器,并使用预测的标签更新文本框中的结果。
需要注意的是,这个示例仅供参考,实际的语音识别系统需要更复杂的处理步骤,并且需要更多的训练数据和计算资源来实现高质量的性能。