Traditional methods of subjective assessment of sound, such as ratings scales and forced-choice tasks, can be limited and time intensive in their ability to reflect the depth of experiential qualities associated with spatial hearing. Attempts to report localization of sound can be challenging when confounds or noise are introduced by constrained motions of head turning or pointing, and these approaches do not all record higher-dimensional features of sound like dispersion and trajectory. We propose a structured method of testing to reliably capture the quality of experience of spatial sound. Feature extraction of the high-dimensional representation of reported experiences converts to robust metrics used to tune and drive system performance toward desired perceptual attributes and optimal experiential performance.
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