AlgoRhythms is a dance music Turing test for live DJ-ing, co-sponsored with Dartmouth College's Program in Digital Music and Darmouth’s Neukom Institute for Computational Science. AlgoRhythms was one of the three tests (the other two consisting of writing stories and sonnets) proposed to gauge the current intelligence that state-of-the-art creative software is able to demonstrate. 

The eight participants in AlgoRhythms submitted automatic DJing algorithms capable of creating a 15-minute DJ set, only using songs from a prior unseen music collection and an unknown seed song to start with. First, a selected jury of experts and afterwards a jury of listeners/dancers decided on the "human-likeness" of the 15-minute sessions. The system “DadaBots – Jungle Bot” made 50% of the experts believed it was human, whereas in the “field-test”, this one and “DJ Codo Nudo” reached the highest ratings (just 40% of “human-likeness”) and both shared the first price ($2000 each).

“DJ Codo Nudo” was submitted by two UPF Sound and Music Computing Master’s students, Jaume Parera & Pritish Chandna. Jaume is precisely developing his Master’s thesis on the topic of automatic DJing under the supervision of professors Sergi Jordà and Perfecto Herrera, and in connection with the Giantsteps EU project, targeted to research and develop on tools for music creation). On the other hand, “Dada Bots – Jungle Bot” was a system developed by CJ Carr + Zack Zukowski from Medford, MA, USA.

The second prize ($1000) was granted to a former MTG member, Gerard Roma, who submitted “Dub Life”. Gerard was for many years one of the main developers of Freesound. He finished his PhD thesis at the MTG last year and he is now working as research software developer in the Centre for Vision, Speech and Signal Processing of Surrey University.

More info about the contests:

http://bregman.dartmouth.edu/turingtests/

You can listen (and apparently vote, using Chrome or Safari) to the different sessions here:
http://bregman.dartmouth.edu/turingtests/DJPoll

You can soon read about state-of-the-art on Intelligent Music Systems in a special issue of the ACM Transactions on Intelligent Systems and Technologies, co-edited by Markus Schedl, Yi-HsuanYang and Perfecto Herrera.