Loudness perception is probabilistic, with a response distribution at each stimulus level.
Evidence
Loudness is a suprathreshold percept that provides insight into the status of the entire auditory pathway. Individuals with matched thresholds can show individual variability in their loudness perception that is currently not well understood. As a means to analyze and model listener variability, we introduce the multi-category psychometric function (MCPF), a novel representation for categorical data that fully describes the probabilistic relationship between stimulus level and categorical-loudness perception. — Dijk, Pim van, Physiology, Psychoacoustics and…, 2509 (
#expands, via linked claim)
Categorization
- XREF: connects to: Loudness judgments at a fixed level vary probabilistically across categories — Dijk, Pim van, Physiology, Psychoacoustics and…, 2512; Listeners with identical hearing thresholds differ in suprathreshold loudness perception — Dijk, Pim van, Physiology, Psychoacoustics and…, 2509; Loudness is measured by listeners assigning numbers relative to a reference sound.
Related
- Listeners with identical hearing thresholds differ in suprathreshold loudness perception (similarity 0.96)
- Loudness judgments at a fixed level vary probabilistically across categories (similarity 0.94)
- Auditory perception of the same physical sound varies between individuals (similarity 0.93)
- Loudness response variability is informative signal, not noise to discard (similarity 0.93)
- People with identical audiometric thresholds can perceive loudness differently. (similarity 0.92)
- Categorical loudness data is probabilistic, not reducible to a median response curve. (similarity 0.92)
- Loudness perception involves central mechanisms beyond cochlear vibration (similarity 0.91)
- Equal-loudness contours vary greatly across individual listeners (similarity 0.91)
- Loudness perception is a random variable at every stimulus level (similarity 0.90)
- Loudness depends on more than physical sound intensity alone (similarity 0.88)
- Boundary-curve slope in a categorical loudness function encodes perceptual category certainty (similarity 0.87)
- Standard loudness analysis discards response variability that probabilistic models can exploit (similarity 0.87)
- Categorical loudness measurements use fixed repeated stimuli spanning the dynamic range (similarity 0.86)
- Modeling the multi-category psychometric function markedly improves loudness estimation accuracy. (similarity 0.86)
- Perceived loudness does not map one-to-one onto acoustic amplitude (similarity 0.86)
Broader Connections
- Listeners with identical hearing thresholds differ in suprathreshold loudness perception
#expands(0.72) — Dijk, Pim van, Physiology, Psychoacoustics and…, 2509