Physical and perceptual similarities of affective and sensorial expressive intentions in music performance are explored. Machine learning techniques were employed to select and validate the most relevant low level features and an interpretation of the clustered organization based on action and physical analogy is proposed. A perceptual experiment is then presented which confirms the same groupings and suggests an intrinsic correspondence of affective and sensorial expressive intentions.
Exploring similarities of affective and sensorial expressive intentions in music performance
DE POLI, GIOVANNI;MION, LUCA;
2007
Abstract
Physical and perceptual similarities of affective and sensorial expressive intentions in music performance are explored. Machine learning techniques were employed to select and validate the most relevant low level features and an interpretation of the clustered organization based on action and physical analogy is proposed. A perceptual experiment is then presented which confirms the same groupings and suggests an intrinsic correspondence of affective and sensorial expressive intentions.File in questo prodotto:
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