Groove Transfer VST for Latin American Rhythms
Anmol Mishra (Universitat Pompeu Fabra)*, Behzad Haki (Universitat Pompeu Fabra), Satyajeet Prabhu (Universitat Pompeu Fabra), Martín Rocamora (Universitat Pompeu Fabra)
This paper will be presented in person
Abstract:
Latin music has intricate rhythms with microtming and dy- namic variations. Modern deep learning based generative systems generate realistic sounding drum outputs. How- ever, most rhythm generation datasets focus have a focus on pop and rock music which leads to the generations be- ing biased towards those categories. In this work, we tend to specifically develop a system that can learn the groove in Brazilian Rhythms