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error in autoencoder function

2 vues (au cours des 30 derniers jours)
ali okumus
ali okumus le 19 Mai 2020
Hello Everyone ,
i am trying to create speaker identification system with autoencoder and Neural Network .First i am trying to create dataset funciton with voice files.
the code is :
function [xTrainVoices,tTrain]= create_voice_data()
xTrainVoices={};
tTrain=[];
file_num=0;
file_extension='.flac';
voice_folder='ali\';
voice_folder_content=dir([voice_folder,'*',file_extension]);
file_number = size(voice_folder_content,1);
for k=1:file_number
file_name=[voice_folder,voice_folder_content(k,1).name];
Ivoice=audioread(file_name);
xTrainVoices{k}=Ivoice;
end
file_num=file_num+file_number;
tTrain=zeros(file_number,2);
tTrain(:,1)=1;
% HUseyinin sesinin veri setine eklenmesi
file_extension='.flac';
voice_folder='huseyin\';
voice_folder_content=dir([voice_folder,'*',file_extension]);
file_number = size(voice_folder_content,1);
for k=1:file_number
file_name=[voice_folder,voice_folder_content(k,1).name];
Ivoice=audioread(file_name);
xTrainVoices{file_num+k}=Ivoice;
end
file_num=file_num+file_number;
Lbanana=zeros(file_number,2);
Lvoice(:,2)=1;
tTrain=[tTrain;Lvoice];
save voice_dataset_auto;
when i try to use this function with autoencoder on thic code:
load ses_veriseti_auto;
hiddenSize1 = 20;
autoenc1 = trainAutoencoder(xTrainVoices,hiddenSize1, ...
'MaxEpochs',200, ...
'L2WeightRegularization',0.004, ...
'SparsityRegularization',4, ...
'SparsityProportion',0.15, ...
'ScaleData', false);
feat1 = encode(autoenc1,xTrainVoices);
ı got this error:
Error using Autoencoder>iConvertToDouble (line 922)
Training data for an autoencoder must either be a matrix, or a cell array of equal size images.
Error in Autoencoder.train (line 510)
[X,visualizationDimensions, trainedOnImages] = iConvertToDouble(X);
Error in trainAutoencoder (line 109)
autoenc = Autoencoder.train(X, autonet, paramsStruct.UseGPU);
Error in denemeautoencoder (line 3)
autoenc1 = trainAutoencoder(xTrainVoices,hiddenSize1, ...
i dont know how to fix this...
any help will be appreciated..

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