Distance measures are used to specify the (amount of) (dis)similarity between (two) events, on the basis of specific properties. This definition of distance measures makes it possible to emphasis various characteristics which I consider to be important. In the speech domain one can replace the general term 'event' in this definition by '(multidimensional) speech signal'. Uni-dimensional physica...

We propose a perceptually based system for pattern retrieval and matching. The central idea is that similarity judgment has to be modeled along perceptual dimensions. Hence, we detect basic visual categories that people use in their judgment of similarity, and design a computational model that accepts patterns as input and, depending on the query, produces a set of choices that follow human beh...

A series of experiments examined short-term recognition memory for trios of briefly presented, synthetic human faces derived from three real human faces. The stimuli were a graded series of faces, which differed by varying known amounts from the face of the average female. Faces based on each of the three real faces were transformed so as to lie along orthogonal axes in a 3-D face space. Experi...

Prior research has identified the lateral occipital complex (LOC) as a critical cortical region for the representation of object shape in humans. However, little is known about the nature of the representations contained in the LOC and their relationship to the perceptual experience of shape. We used human functional MRI to measure the physical, behavioral, and neural similarity between pairs o...

Development of reasoning is often depicted as involving increasing use of relational similarities and decreasing use of perceptual similarities ('the perceptual-to-relational shift'). We argue that this shift is a special case of a broader developmental trend: increasing sensitivity to the predictive accuracy of different similarity types. To test this hypothesis, we asked participants (3-, 4-,...

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Probabilistic models of same-different and identification judgments are compared (within each paradigm) with regard to their sensitivity to perceptual dependence or the degree to which the underlying psychological dimensions are correlated. Three same-different judgment models are compared. One is a step function or decision bound model and the other two are probabilistic variants of a similari...

This work is an attempt to evaluate different experimental methods, ABX vs. AXB, and the use of reaction time (RT) measurement in assessing perceptual sensitivity to phonemic similarity based on perceptual representation of Thai initial consonants [1]. Thirty phoneme pairs are selected to represent varying degrees of similarity: highly similar, moderately similar, and clearly distinct. All the ...

We propose novel deep speaker representation learning that considers perceptual similarity among speakers for multi-speaker generative modeling. Following its success in accurate discriminative modeling of individuality, knowledge (i.e., using neural networks) has been introduced to However, the conventional algorithm does not necessarily learn embeddings suitable such modeling, which may resul...