Classification of impulsive-source active-sonar echoes based on a model of auditory perception
Journal of The Acoustical Society of America(2007)
摘要
Models of auditory perception are investigated as the basis for a biomimetic classifier of impulsive‐source active‐sonar echoes. Multidimensional scaling estimates the perceptual space in which listeners perform classification [J. E. Summers et al., J. Acoust. Soc. Am. 120, 3125 (A) (2006)]. In the resulting space of perceptual dimensions, stimuli form distinct clusters and target is discriminated from clutter along a single perceptual dimension. Dimensions in this space do not correspond to features having simple algorithmic representations. Consequently, conventional methods to develop a mapping from signal space to feature space fail. Instead, dimensions reflect untrained categorical perception manifested through the mixtures of top‐down and bottom‐up processes used by listeners: A high‐level cognitive process for interclass dissimilarity ratings and a low‐level signal‐based process for intraclass comparisons. Behaving as expert systems, listeners rapidly assign stimuli to categories based on prior experiences, a process analogous to the statistical description of classes in the class‐specific method. In contrast, within‐class comparisons reflect signal‐derived features found to be most efficacious for differentiating between the signals, a process similar to generation of features by singular‐value decomposition. Implications of these findings for design of hybrid generative/discriminative human‐mimetic classifier architectures are discussed. [Work supported by ONR.]
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