Varinthira Duangudom

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After more than a century of research, the mechanisms underlying visual masking are still hotly debated. One key characteristic of masking is that variations in the stimulus onset asynchrony (SOA) between the target and the mask can lead to either monotonic reductions in the effect of the mask on the target (A-type masking) or an increase in masking for(More)
In this paper, we present a computational model for predicting pre-attentive, bottom-up auditory saliency. The model determines perceptually what in a scene stands out to observers and can be used to determine what part of a complex auditory scene is most important. The vision equivalency of this is visual saliency as defined by Koch and others [1]. The(More)
Machine perception is a difficult problem both from a practical or implementation point of view as well as from a theoretical or algorithmic point of view. Machine perception systems based on biological perception systems show great promise in many areas but they often have processing requirements and/or data flow requirements that are difficult to(More)
Auditory saliency refers to the characteristics of a sound that cause it to attract the attention of a listener. Pre-attentive or bottom-up saliency has to do with automatic processing in the human auditory system that does not require and often precedes attention. Unlike visual saliency, where eye-tracking is a commonly used evaluation method, with(More)
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