%0 Conference Proceedings
%T Modelling Cadence Perception Via Musical Parameter Tuning to Perceptual Data
%+ Aristotle University of Thessaloniki
%A Kaliakatsos-Papakostas, Maximos
%A Zacharakis, Asterios
%A Tsougras, Costas
%A Cambouropoulos, Emilios
%Z Part 10: Mining Humanistic Data Workshop (MHDW)
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Thessaloniki, Greece
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%3 Artificial Intelligence Applications and Innovations
%V AICT-475
%P 552-561
%8 2016-09-16
%D 2016
%R 10.1007/978-3-319-44944-9_49
%Z Computer Science [cs]Conference papers
%X Conceptual blending when used as a creative tool combines the features of two input spaces, generating new blended spaces that share the common structure of the inputs, as well as different combinations of their non-common parts. In the case of music, conceptual blending has been employed creatively, among others, in generating new cadences (pairs of chords that conclude musical phrases). Given a specific set of input cadences together with their blends, this paper addresses the following question: are some musical features of cadences more salient than others in defining perceived relations between input and blended cadences? To this end, behavioural data from a pairwise dissimilarity listening test using input and blended cadences as stimuli were collected, thus allowing the construction of a ‘ground-truth’ human-based perceptual space of cadences. Afterwards, the salience of each cadence feature was adjusted through the Differential Evolution (DE) algorithm, providing a system-perceived space of cadences that optimally matched the ground-truth space. Results in a specific example of cadence blending indicated that some features were distinguishably more salient than others. This pilot study was a first step towards building self-aware blending systems and revealed that the salience of features in conceptual blending is an essential part for producing perceptually relevant blends.
%G English
%Z TC 12
%Z WG 12.5
%2 https://inria.hal.science/hal-01557595/document
%2 https://inria.hal.science/hal-01557595/file/430537_1_En_49_Chapter.pdf
%L hal-01557595
%U https://inria.hal.science/hal-01557595
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-475