TODO.md

• ✅ Ensure app.py audio input sounds like training data

• ✅ Use a huggingface transformer with the dataset

• Verify that the training spectrogram matches the predict spectrogram

• Count number of example misses in dataset loading

• Verify windowing and jitter params in Song Dataset

• Create an attention-based network

• ✅ Increase parameter count in network

• Verify that labels really match what is on the music4dance site

• ✅ Read the Medium series about audio DL

• double check _rectify_duration

• ✅ Filter out songs that have only one vote

• ✅ Download songs from Best Ballroom

• ✅ fix nan values

• Try higher mels (224) and more ffts (2048)

• Verify random sample of dataset outputs by hand.

• Train with non music data and add a non music category

• Add back class weights

• Add back multi label classification