Primary Affiliation: Queen Mary University of London - London, UK
AES Member Type: Student
Marco is a PhD researcher at Queen Mary University of London with interests in machine learning, digital signal processing, and music production.
He is part of the Audio Engineering research team within the Centre for Digital Music and his primary focus of research is on machine learning techniques applied to intelligent audio mixing algorithms.
Marco holds a MSc in Digital Signal Processing from The University of Manchester and a degree in Electronic Engineering from The University of Los Andes (Colombia). In addition, Marco is a music producer and a mixing and mastering engineer.
More Info: https://www.linkedin.com/in/marcomartinez90/
P09: Recording and Production
Analysis and Prediction of the Audio Feature Space when Mixing Raw Recordings into Individual Stems (Author)