Sensory science quantifies perceptual attributes through structured descriptive analysis
Evidence
Researchers have attempted to identify relationships between particular features in the outputs from acoustic musical instruments and their perceived timbre. A significant experiment in this field was conducted by Grey (1977). Listeners were asked to rate the similarity between recordings of pairs of synthesized musical instruments on a numerical scale from 1 to 30. All sounds were equalized in pitch, loudness and duration. The results were analyzed by “multidimensional scaling,” which is a computational technique that places the instruments in relation to each other in a multidimensional space based on the similarity ratings given by listeners. — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 1482 (
#exemplifies, via linked claim)
Categorization
- XREF: connects to: Triadic comparison tests can derive perceptual structures without direct labeling; Perception variability splits into source-induced and receiver-related components — Dijk, Pim van, Physiology, Psychoacoustics and…, 5572; Multidimensional scaling reveals dissimilarity structures without labeling perceived attributes (+6 more)
Broader Connections
- Multidimensional scaling maps perceived timbre differences between instruments
#exemplifies(0.85) — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 1482 - Triadic comparison tests can derive perceptual structures without direct labeling
#expands(0.82) - Multidimensional scaling reveals dissimilarity structures without labeling perceived attributes
#expands(0.80) - Sensory consonance depends on roughness, sharpness, and tonalness
#exemplifies(0.78) — Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 2040 - Free sorting lets subjects define their own perceptual similarity criteria
#expands(0.78) - Subjective experience dictates which measurements matter in audio research
#qualifies(0.75) - Perception variability splits into source-induced and receiver-related components
#expands(0.72) — Dijk, Pim van, Physiology, Psychoacoustics and…, 5572 - Computational auditory models serve knowledge, audio-quality measurement, and diagnostics
#expands(0.72) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 821