Import txt. files from a folder for training data

How do Import *txt files from a folder into a cell array with nummeric array, or something else that is a suitable for training with a neural network.

I tried to import them via a FileDatastore:

x_train = fileDatastore("train\a_train\", "ReadFcn", @load);

y_train = fileDatastore("train\a_classification\", "ReadFcn", @load);

a = combine(x_train, y_train)

But this didn't seems to be the right format for training data. Sorry if this is a dump question, but its quite hard to figure out how to set up right training data.

The txt.files are all same as shown in this example. The Y_training data are just the same amount of txtfiles with just a 1,2 or 3 in it, for the 3 vowels I want to differentiate. Maybe there is also a smarter soultion for this.

It would be really helpfull, im a little bit lost so everything helps.

thx

Answer 1

[Arif Hoq]

if you want to import all the text files,try this

textfiles = dir('*.txt'); 
numfiles = length(textfiles);
mydata = cell(1, numfiles);

for k = 1:numfiles 
  mydata{k} = load(textfiles(k).name); 
%   mydata{k} = open(textfiles(k).name);
  
end

this syntax, mydata{k} = open(textfiles(k).name) above will open all the text file in a matlab script.

Or, if you want to import a specific text file,then

A=readtable('a_fft - Kopie (1).txt','ReadVariableName',false); % if your text file contains numeric and string
A=readmatrix('a_fft - Kopie (1).txt'); % if your text file contains only numeric

[Mauritz Wilshusen]

thanks mate