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Pytorch and TensorFlow data loaders for several audio datasets

Python 66.30% Jupyter Notebook 33.70%
dataloader pytorch tfrecords dataset librispeech gtzan nsynth esc audio-processing

dataloaders's Issues

about hdf5

I have several hundred GB wav files on my disk (about 1, 000 hours wav data). I found directly reading the wav file is slow for training, so I choose lmdb and hdf5 as options. However I found that
hdf5 do not support concurrent, i.e. num_workers in Dataloader can not be more than 1, how do you solve this problem? thx

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