alex_lite_21
alex_lite_21 t1_iyi9g5g wrote
Reply to [Discussion] - "data sourcing will be more important than model building in the era of foundational model fine-tuning" by fourcornerclub
I agree on this. Relates to the garbage in-garbage out concept. I am not also a fan of data augmentation, at least not in the way that it is commonly done without thinking to much. Getting high quality data is paramount.
alex_lite_21 t1_ir3k9cb wrote
Reply to comment by time_waster103 in [D] How to efficiently sample audio clips from a large audio file for classifying the large audio file? by time_waster103
Could it be that during the loading process you can be extracting some features (windowed)
alex_lite_21 t1_ir25awj wrote
Reply to [D] How to efficiently sample audio clips from a large audio file for classifying the large audio file? by time_waster103
1 second for a 30 minutes audio file?? Why do you need it so fast? What kind of diversity is among the audio files? It depends on how different are among classes and similar within each class. I guess that second does not consider the time spent to load the file is it?
alex_lite_21 t1_iyp018p wrote
Reply to [D] Do neural networks take care of feature engineering? by Steve_Sizzou
Deep NN do, just NN do not. In some cases the features found are not enough for good result. In some cases outperforms humans (CNN). Also, you can help the DNN by transforming the data.