habla-liaa / encodecmae Goto Github PK
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Codebase for the paper 'EncodecMAE: Leveraging neural codecs for universal audio representation learning'
Hey! I want to use this to get embeddings for downstream tasks and everything works, but it's just too slow if I call model.extract_features_from_file
for each file and it loads separately. What would be the easiest way to batch-process many files?
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