Audio examples for the paper:

Martínez Ramírez M. A., Stoller, D. and Moffat, D., “A deep learning approach to intelligent drum mixing with the Wave-U-Net” Journal of the Audio Engineering Society, vol. 69, no. 3, pp. 142-151, March 2021

View the source code.

Phrase - afro: simple slow sticks

- Reference Wet

- Wave-U-Net Wet

- Random Forest Wet

- Reference Dry

- Wave-U-Net Dry

- Random Forest Dry

- Anchor

 

Phrase - blues: simple slow brushes

- Reference Wet

- Wave-U-Net Wet

- Random Forest Wet

- Reference Dry

- Wave-U-Net Dry

- Random Forest Dry

- Anchor

 

Phrase - reggae: simple slow sticks

- Reference Wet

- Wave-U-Net Wet

- Random Forest Wet

- Reference Dry

- Wave-U-Net Dry

- Random Forest Dry

- Anchor

 

Phrase - oriental: simple slow sticks

- Reference Wet

- Wave-U-Net Wet

- Random Forest Wet

- Reference Dry

- Wave-U-Net Dry

- Random Forest Dry

- Anchor

 

Phrase - salsa: complex medium sticks

- Reference Wet

- Wave-U-Net Wet

- Random Forest Wet

- Reference Dry

- Wave-U-Net Dry

- Random Forest Dry

- Anchor

 

Phrase - waltz: complex slow brushes

- Reference Wet

- Wave-U-Net Wet

- Random Forest Wet

- Reference Dry

- Wave-U-Net Dry

- Random Forest Dry

- Anchor

 

Accompaniment - celtic rock: brushes

- Reference Wet

- Wave-U-Net Wet

- Random Forest Wet

- Reference Dry

- Wave-U-Net Dry

- Random Forest Dry

- Anchor

 

Accompaniment - rock: sticks

- Reference Wet

- Wave-U-Net Wet

- Random Forest Wet

- Reference Dry

- Wave-U-Net Dry

- Random Forest Dry

- Anchor

 

Solo - toms: mallets

- Reference Wet

- Wave-U-Net Wet

- Random Forest Wet

- Reference Dry

- Wave-U-Net Dry

- Random Forest Dry

- Anchor