【matlab】matlab基于DTW和HMM方法数字语音识别系统（源码+音频文件+GUI界面）【独一无二】

fig = uifigure('Position',[100 100 600 400],'Name','Speech Recognition');
panel1 = uipanel(fig,'Position',[10 10 280 380],'Title','Training and Recognition');
panel2 = uipanel(fig,'Position',[310 10 280 380],'Title','Recognition Result');

btn_select = uibutton(panel1,'Position',[10 320 260 40],'Text','Select Folder',...
    'ButtonPushedFcn',@(btn,event) selectFolder);

btn_train = uibutton(panel1,'Position',[10 260 260 40],'Text','Start Training',...
    'ButtonPushedFcn',@(btn,event) startTraining);

%略.....

btn_exit = uibutton(panel2,'Position',[10 20 260 40],'Text','Exit',...
    'ButtonPushedFcn',@(btn,event) close(fig));

function selectFolder
    folderPath = uigetdir;
    if folderPath
        disp(['Selected Folder: ' folderPath]);
    else
        disp('No folder selected');
    end
end

function startTraining
    if isempty(folderPath)
        uialert(fig,'Please select a folder first','Error');
        return;
    end
    % 略...
    disp(hmmAccuracy);
    disp(['DTW Total Accuracy: ', num2str(mean(dtwAccuracy))]);
    disp(['HMM Total Accuracy: ', num2str(mean(hmmAccuracy))]);
end

function recognizeDTW
    if isempty(dtwModel)
        uialert(fig,'Please train the models first','Error');
        return;
    end
    [file, path] = uigetfile('*.wav');
    if isequal(file, 0)
    % 略...
        
        disp(['Recognition Result: ' result])
        lbl_result.Text = ['Recognition Result: ' digit{end}];
    end
end

function [dtwModel, hmmModel] = trainModels(folderPath)
    dtwModel = struct;
    hmmModel = struct;
    for digit = 0:9
        digitFolder = fullfile(folderPath, num2str(digit));
        fieldName = ['digit' num2str(digit)];
        dtwModel.(fieldName) = [];
    % 略...
        end
    end
end

function result = recognizeAudioDTW(dtwModel, audioFile)
    [audioData, fs] = audioread(audioFile);
    features = extractFeatures(audioData, fs);
    minDist = Inf;
    result = 'None';
    for digit = 0:9
    % 略...
        end
    end
end
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function result = recognizeAudioHMM(hmmModel, audioFile)
    [audioData, fs] = audioread(audioFile);
    features = extractFeatures(audioData, fs);
    % 略...    % 略...
            end
        end
    end
end

function features = extractFeatures(audioData, fs)
    coeffs = mfcc(audioData, fs, 'NumCoeffs', 13);
    features = mean(coeffs);
end

function dist = dtw(seq1, seq2)


    dist = sqrt(sum((seq1 - seq2).^2));
end

function prob = hmm(seq1, seq2)
    prob = -sum((seq1 - seq2).^2);
end

function [dtwAccuracy, hmmAccuracy] = calculateRecognitionRates(folderPath, dtwModel, hmmModel)
    dtwAccuracy = zeros(1, 10);
    hmmAccuracy = zeros(1, 10);
    for digit = 0:9
    % 略...
        end
        dtwAccuracy(digit + 1) = correctDTW / numTests;
        hmmAccuracy(digit + 1) = correctHMM / numTests;
    end
end