TY - GEN
T1 - CrowdBand
T2 - 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013
AU - Pietrowicz, Mary
AU - Chopra, Danish
AU - Sadeghi, Amin
AU - Chandra, Puneet
AU - Bailey, Brian P.
AU - Karahalios, Karrie
N1 - Publisher Copyright:
Copyright © 2013, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2013/11/10
Y1 - 2013/11/10
N2 - CrowdBand, a sound composition system, demonstrates how a crowd can create works that meet requested criteria and fulfill the aesthetic character given by keyword description and examples. CrowdBand allows flexibility in music composition in terms of duration of the music, completion time and cost of music composition by giving the requestor two modes - thrifty and normal. CrowdBand’s workflow divides the composition task into three sections: requesting fundamental sounds, assembling sounds into compositions, and evaluating the results. Based on the crowd workers’ responses, we conclude that crowdsourced workers who are non-musicians can design sound and create novel sound compositions through CrowdBand. We also conclude that CrowdBand gives the musically-untrained crowd workers the ability to use common compositional techniques, such as sound layering, vertical stacking of sounds to create harmonic effects, related melodic lines (contrapuntal techniques), and transitions between aesthetic notions, or sound themes. Finally, we show improved, faster results with successive simplification and examples.
AB - CrowdBand, a sound composition system, demonstrates how a crowd can create works that meet requested criteria and fulfill the aesthetic character given by keyword description and examples. CrowdBand allows flexibility in music composition in terms of duration of the music, completion time and cost of music composition by giving the requestor two modes - thrifty and normal. CrowdBand’s workflow divides the composition task into three sections: requesting fundamental sounds, assembling sounds into compositions, and evaluating the results. Based on the crowd workers’ responses, we conclude that crowdsourced workers who are non-musicians can design sound and create novel sound compositions through CrowdBand. We also conclude that CrowdBand gives the musically-untrained crowd workers the ability to use common compositional techniques, such as sound layering, vertical stacking of sounds to create harmonic effects, related melodic lines (contrapuntal techniques), and transitions between aesthetic notions, or sound themes. Finally, we show improved, faster results with successive simplification and examples.
UR - http://www.scopus.com/inward/record.url?scp=85027273837&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85027273837&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85027273837
T3 - Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013
SP - 121
EP - 129
BT - Proceedings of the 1st AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013
A2 - Hartmann, Bjorn
A2 - Horvitz, Eric
PB - American Association for Artificial Intelligence (AAAI) Press
Y2 - 7 November 2013 through 9 November 2013
ER -