Exploring the Descriptive Language of Musical Sounds

The spontaneous use of verbal expressions to articulate and describe abstract auditory phenomena in everyday interactions is an inherent aspect of human nature. This occurs without the structured conditions typically required in controlled laboratory environments, relying instead on intuitive and spontaneous modes of expression. This study explores the relationship between auditory perception and descriptive language for abstract sounds. These sounds, synthesized without identifiable sources or musical structures, allow listeners to engage with sound perception free from external references. The investigation of correlations between subjective descriptors (e.g., “rough”, “bright”) and physical sound attributes (e.g., spectral and dynamic properties) reveals significant cross-modal linguistic associations in auditory perception. An international survey with a diverse group of participants revealed that listeners often draw on other sensory domains to describe sounds, suggesting a robust cross-modal basis for auditory descriptors. Moreover, the findings indicate a correlation between subjective descriptors and objective sound wave properties, demonstrating the effectiveness of abstract sounds in guiding listeners’ attention to intrinsic qualities. These results could support the development of new paradigms in sound analysis and manipulation, with applications in artistic, educational, and analytical contexts. This multidisciplinary approach may provide the foundation for a perceptual framework for sound analysis, to be tested and refined through theoretical modelling and experimental validation.

Authors

Publication Details

Journal
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Published
2025-03-01
Primary Topic
Multisensory perception and integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Descriptive Language of Musical Sounds

Isabel Pires
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Multisensory perception and integration
article

Exploring the Descriptive Language of Musical Sounds

Isabel Pires
article en

Abstract

The spontaneous use of verbal expressions to articulate and describe abstract auditory phenomena in everyday interactions is an inherent aspect of human nature. This occurs without the structured conditions typically required in controlled laboratory environments, relying instead on intuitive and spontaneous modes of expression. This study explores the relationship between auditory perception and descriptive language for abstract sounds. These sounds, synthesized without identifiable sources or musical structures, allow listeners to engage with sound perception free from external references. The investigation of correlations between subjective descriptors (e.g., “rough”, “bright”) and physical sound attributes (e.g., spectral and dynamic properties) reveals significant cross-modal linguistic associations in auditory perception. An international survey with a diverse group of participants revealed that listeners often draw on other sensory domains to describe sounds, suggesting a robust cross-modal basis for auditory descriptors. Moreover, the findings indicate a correlation between subjective descriptors and objective sound wave properties, demonstrating the effectiveness of abstract sounds in guiding listeners’ attention to intrinsic qualities. These results could support the development of new paradigms in sound analysis and manipulation, with applications in artistic, educational, and analytical contexts. This multidisciplinary approach may provide the foundation for a perceptual framework for sound analysis, to be tested and refined through theoretical modelling and experimental validation.

Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Quality Education
Openalex Percentile: Top 18%
Multisensory perception and integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the Descriptive Language of Musical Sounds — Isabel Pires · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (2025) | TGRS Research Map | TGRS