Towards Affective-Psychophysiological Foundations for Music Production



This paper describes affective and psychophysiological foundations
used to help to control affective content in music production.
Our work includes the proposal of a knowledge base grounded on the
state of the art done in areas of Music Psychology. This knowledge base
has relations between affective states (happiness, sadness, etc.) and high
level music features (rhythm, melody, etc.) to assist in the production of
affective music. A computer system uses this knowledge base to select
and transform chunks of music. The methodology underlying this system
is essentially founded on Affective Computing topics. Psychophysiology
measures will be used to detect listener's affective state.




Music Computing


Affective Computing and Intelligent Interaction, September 2007

PDF File

Cited by

Year 2015 : 1 citations

 Cernea, Daniel. "User-Centered Collaborative Visualization." (2015).

Year 2014 : 4 citations

 Williams, Duncan, et al. "Investigating affect in algorithmic composition systems." Psychology of Music (2014): 0305735614543282.

 Gungormusler, Alper. "barelyMusician: An Adaptive Music Engine For Interactive Systems." (2014).

 Williams, Duncan and Kirke, Alexis and Miranda, Eduardo R and Roesch, Etienne and Daly, Ian and Nasuto, Slawomir "Investigating affect in algorithmic composition systems". Psychology of Music.

 Gungormusler, Alper "barelyMusician: An Adaptive Music Engine For Interactive Systems"

Year 2013 : 1 citations

 Monteith, K., Brown, B., Ventura, D., Martinez, T. "Automatic Generation of Music for Inducing Physiological Response". 35th annual meeting of the Cognitive Science Society.

Year 2012 : 1 citations

 Monteith, K., Martinez, T., Ventura, D. "Automatic Generation of Melodic Accompaniments for Lyrics". International Conference on Computational Creativity, 87.

Year 2011 : 1 citations

 Caporusso, N. "The Body and the Mind “through the Lens” of Music: Exploiting Brain-Computer Interfaces and Embodied Music Cognition to Assess Sensorimotor Synchronization and Developmental Disorders", Cognitive Practices

Year 2010 : 2 citations

 Perry K., Martinez T. and Ventura D. "Automatic Generation of Music for Inducing Emotive Response", International Conference on Computational Creativity

 Monteith K., Martinez T. and Ventura D. "Computational Modeling of Emotional Content in Music", Cognitive Science