Total: 1
We present a novel method for determining how the perceptual organisation of simple alternating tone sequences is likely to occur in human listeners. By training a tensor model representation using features which incorporate both low-frequency modulation rate and phase, a set of components is learned. Test patterns are modelled using these learned components, and the sum of component activations is used to predict either an `integrated' or `segregated' auditory stream percept. We find that for the basic streaming paradigm tested, our proposed model and method is able to correctly predict either segregation or integration in the majority of cases.