There is a problem with converting wav to h5 format: it either eats up all 25 gigs of ram available in google colab if i create data array first and then save it to dataset, or it takes a lot of time, if i append to dataset sample-per-sample. Approximately a month, to be exact: ~250mins per file * 192 files, = 48000 minutes for entire dataset or 33.(3) days
Should i just implement lazy loading dataloader by myself?