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What’s the best starting point if I wanted to build my own TF dataset like that but for audio, not necessarily from a directory but some metadata manifests (eg JSON)? I’d like to add TF data support in Lhotse eventually…https://github.com/lhotse-speech/lhotse …
You'd start by listing filenames (in Python) then you'd use TF IO ops to load them and turn them into tensors. You can check out the source code of image_dataset_from_directory to get an idea
Hmm, interesting. So basically it’s created from an iterable of paths and then uses map/zip to load the data and add the labels. I also found this page illuminating, in particular http://tf.py _function looks usefulhttps://www.tensorflow.org/guide/data?hl=en …
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