using datastore with trainNetwork
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I'm trying to train mp3/wav files using yamnet, I've created an audioDataStore which load the files, then I transform it to get data that suits to Yamnet, and then I try to train it. I get the folowing error:
Invalid training data. Predictors must be a numeric array, a datastore, or a table. For networks with
sequence input, predictors can also be a cell array of sequences.
Can't I use transformedDataStore with trainNetwork?
This is my code:
net = yamnet;
DS = audioDatastore(FolderName, ...
'FileExtensions',{'.wav','.mp3'},"IncludeSubfolders",true,'LabelSource','foldernames');
TR = transform(DS,@(audio,info)preProcess(audio,info),"IncludeInfo",true);
options = trainingOptions("adam");
trainNetwork(net,TR,options)
function [data,info] = preProcess(audio,info)
data = yamnetPreprocess(audio,info.SampleRate);
end
Thanks
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