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# Encode species from fnames regex | |
species <- str_extract(fnames, patt = "[A-Za-z]+-[a-z]+") %>% | |
gsub(patt = "-", rep = " ") %>% factor() | |
# Stratified sampling: train (80%), val (10%) and test (10%) | |
set.seed(100) | |
idx <- createFolds(species, k = 10) | |
valIdx <- idx$Fold01 | |
testIdx <- idx$Fold02 | |
# Define samples for train, val and test | |
fnamesTrain <- fnames[-c(valIdx, testIdx)] | |
fnamesVal <- fnames[valIdx] | |
fnamesTest <- fnames[testIdx] | |
# Take multiple readings per sample for training | |
Xtrain <- audioProcess(files = fnamesTrain, ncores = 5, | |
limit = 20, ws = 10, stride = 5) | |
Xval <- audioProcess(files = fnamesVal, ncores = 5, | |
limit = 20, ws = 10, stride = 5) | |
Xtest <- audioProcess(files = fnamesTest, ncores = 5, | |
limit = 20, ws = 10, stride = 5) |
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