DJ Codo Nudo: a novel method for seamless transition between songs for electronic music

This thesis presents a novel methodology for selecting, ordering and mixing songs, in an effort to emulate a human DJ. The algorithm presented herewith builds on work done on these individual tasks and combines them. Since the goal of the thesis is to emulate a human performance, a Turing test is used for evaluation, wherein human subjects are asked to distinguish the performance of the algorithm from that of a human being. While the research presented is thorough, it must be understood as a stepping-stone for further work in this area and not the finished product capable of mimicking the art of DJing, which requires years of hard work and dedication to accomplish. The proposed algorithm entered in the The AlgoRythms Turing test proposed by the Neukom Institute for Computational Science, in collaboration with the Digital Music and Sonic Arts programs at Dartmouth University and was awarded joint first place.