@inproceedings{nichols2009data-driven,
author = {Nichols, Eric and Morris, Dan and Basu, Sumit},
title = {Data-Driven Exploration of Musical Chord Sequences},
booktitle = {IUI '09 Proceedings of the 14th international conference on Intelligent user interfaces},
year = {2009},
month = {February},
abstract = {We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in exploring the high-dimensional space of musical chord sequences by parameterizing the variation among chord sequences in popular music. We provide a novel user interface that exposes these learned parameters as control axes, and we propose two automatic approaches for defining these axes. One approach is based on a novel clustering procedure, the other on principal components analysis. A user study compares our approaches for defining control axes both to each other and to an approach based on manually-assigned genre labels. Results show that our automatic methods for defining control axes provide a subjectively better user experience than axes based on manual genre labeling.},
publisher = {ACM},
url = {http://approjects.co.za/?big=en-us/research/publication/data-driven-exploration-musical-chord-sequences/},
pages = {227-236},
isbn = {978-1-60558-168-2},
edition = {IUI '09 Proceedings of the 14th international conference on Intelligent user interfaces},
}