kunwar_ asked . 2021-07-22

what should be correct format of feature vectors matrix for feeding into neural networks?

for j=1:size(filesToRead,1)
    % Read speech samples, sampling rate and precision from file
    [ speech, fs, nbits ] = wavread( filesToRead{j} );

      % Feature extraction (feature vectors as columns)
      [ MFCCs, FBEs, frames ] = mfcc( speech, fs, Tw, Ts, alpha, hamming, R, M, C, L );
      for i=1:13
         mfcc((i-1)*size(MFCCs,2)+1:i*size(MFCCs,2),j) = MFCCs(i,:);
      end
      clearvars MFCCs
  end    

*I have a total of 160 speech samples and eight different classes (20samples each). I have extracted MFCCs and it gives me a 13x5000 matrix for one sample. I want to feed these features for all 160 samples into NN and then classify into 8 classes. tell me  stepwise:

 # (1). in which format to store the feature vector matrix
# (2). how to arrange the extracted feature vectors (in rows or columns?)
 # (3) Whether i need to create one single matrix for the features of all 160 samples?
# (4) How do i feed this matrix to NN and how many input neurons should i have?
 # (5). which divide parameter should be used for dividng my data set into training, validation and testing sets. (i used dividerand and divided as 70-15-15 and also tried 60-20-20 and 70-20-10)
 # (6) what should be my hidden layer function. (sigmoid, linear etc..)
# (7) What should be my target matrix?*

emotion recognition , neural net , mfcc