Towards Affective-Psychophysiological Foundations for Music Production

Authors:
António Pedro Oliveira;Amílcar Cardoso
Affiliations:
Coimbra University, Department of Informatics Engineering, Portugal;Coimbra University, Department of Informatics Engineering, Portugal
Venue:
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Year:
2007

Citing 6
Cited 1

A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms

Machine Learning
MAgentA: An Architecture for Real Time Automatic Composition of Background Music

IVA '01 Proceedings of the Third International Workshop on Intelligent Virtual Agents
REMUPP: an interactive tool for investigating musical properties and relations

NIME '05 Proceedings of the 2005 conference on New interfaces for musical expression
pDM: An Expressive Sequencer with Real-Time Control of the KTH Music-Performance Rules

Computer Music Journal
The affective remixer: personalized music arranging

CHI '06 Extended Abstracts on Human Factors in Computing Systems
Visualizing emotion in musical performance using a virtual character

SG'05 Proceedings of the 5th international conference on Smart Graphics

A musical system for emotional expression

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.