Modeling Human Experts’ Identification of Orchestral Blends Using Symbolic Information

2021 ◽  
pp. 363-378
Author(s):  
Aurélien Antoine ◽  
Philippe Depalle ◽  
Philippe Macnab-Séguin ◽  
Stephen McAdams
Keyword(s):  
Symbolic Information

scholarly journals A symbolic information approach to characterize response-related differences in cortical activity during a Go/No-Go task

2021 ◽  
Author(s):  
Helena Bordini de Lucas ◽  
Steven L. Bressler ◽  
Fernanda Selingardi Matias ◽  
Osvaldo Anibal Rosso
Keyword(s):  
Cortical Activity ◽  
Information Approach ◽  
Symbolic Information

scholarly journals Brain networks underlying the processing of sound symbolism related to softness perception

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ryo Kitada ◽  
Jinhwan Kwon ◽  
Ryuichi Doizaki ◽  
Eri Nakagawa ◽  
Tsubasa Tanigawa ◽  
...  
Keyword(s):  
Inferior Frontal Gyrus ◽  
Sensory Modality ◽  
Brain Regions ◽  
Sound Symbolism ◽  
Matching Task ◽  
Unique Contribution ◽  
Superior Frontal Gyrus ◽  
Symbolic Information ◽  
Object Properties ◽  
Imaging Experiment

AbstractUnlike the assumption of modern linguistics, there is non-arbitrary association between sound and meaning in sound symbolic words. Neuroimaging studies have suggested the unique contribution of the superior temporal sulcus to the processing of sound symbolism. However, because these findings are limited to the mapping between sound symbolism and visually presented objects, the processing of sound symbolic information may also involve the sensory-modality dependent mechanisms. Here, we conducted a functional magnetic resonance imaging experiment to test whether the brain regions engaged in the tactile processing of object properties are also involved in mapping sound symbolic information with tactually perceived object properties. Thirty-two healthy subjects conducted a matching task in which they judged the congruency between softness perceived by touch and softness associated with sound symbolic words. Congruency effect was observed in the orbitofrontal cortex, inferior frontal gyrus, insula, medial superior frontal gyrus, cingulate gyrus, and cerebellum. This effect in the insula and medial superior frontal gyri was overlapped with softness-related activity that was separately measured in the same subjects in the tactile experiment. These results indicate that the insula and medial superior frontal gyrus play a role in processing sound symbolic information and relating it to the tactile softness information.

scholarly journals Analysis of Ligeti’s Atmosphères by Means of Computational and Symbolic Resources

2021 ◽  
Vol 21 (1) ◽  
pp. 369-394
Author(s):  
Ivan Simurra ◽  
Rodrigo Borges
Keyword(s):  
Electronic Music ◽  
Music Analysis ◽  
Individual Characteristics ◽  
Computational Method ◽  
Musical Structure ◽  
Musical Score ◽  
Symbolic Information ◽  
Symbolic Resources ◽  
Renaissance Music ◽  
Empirical Perspective

We report a music analysis study of Atmosphères (1961) from György Ligeti, combining symbolic information retrieved from the musical score and audio descriptors extracted from the audio recording. The piece was elected according to the following criteria: (a) it is a music composition based on sound transformations associated to motions on the global timbre; (b) its conceptual creative intercourse makes direct references to electronic music and sound/timbre techniques from the ancient Renaissance Music; and (c) its sonorities are explored by means of variations on the timbre contrast. From the symbolic analysis perspective, Atmosphères’ timbre content can be discussed considering the entanglement of individual characteristics of musical instruments. The computational method approaches the musical structure from an empirical perspective and is based on clustering techniques. We depart from previous studies, and this time we focus on the novelty curve calculated from the spectral content extracted from the piece recording. Our findings indicate that novelty curve can be associate with five specific clusters, and regarding the symbolic music analysis, three leading music features can be argued: (a) instrumentation changes; (b) distinct pitch chromatic set locations and (c) intensity dynamic fluctuations.

SYMBOLIC INFORMATION PROCESSING

1980 ◽  
pp. 131-154
Author(s):  
Kenneth M. Levine ◽  
Peter Masters
Keyword(s):  
Information Processing ◽  
Symbolic Information

Perceptual symbol systems and emotion

1999 ◽  
Vol 22 (4) ◽  
pp. 612-613 ◽  
Author(s):  
Louis C. Charland
Keyword(s):  
Information Processing ◽  
Systems Theory ◽  
Processing System ◽  
Current Work ◽  
Direct Connection ◽  
Symbol Systems ◽  
Information Processing System ◽  
Symbolic Information ◽  
Target Article ◽  
Perceptual Symbol Systems

In his target article, Barsalou cites current work on emotion theory but does not explore its relevance for this project. The connection is worth pursuing, since there is a plausible case to be made that emotions form a distinct symbolic information processing system of their own. On some views, that system is argued to be perceptual: a direct connection with Barsalou's perceptual symbol systems theory. Also relevant is the hypothesis that there may be different modular subsystems within emotion and the perennial tension between cognitive and perceptual theories of emotion.

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