A commonly held view of auditory scene analysis is that complex auditory environments are segregated into separate perceptual streams using primitive cues that can be attended to separately. We argue that this view is inconsistent with the majority of perceptual data reported in the literature and propose an alternative model that is based on a primary, low resolution signal representation used...

A two-layer spiking neural network is used to segregate double vowels. The first layer is a partially connected spiking neurons of relaxation oscillatory type, while the second layer consists of fully connected relaxation oscillators. A twodimensional auditory image generated by the enhanced spectrum of cochlear filter bank envelopes is computed. The segregation is based on a channel selection ...

Experience in real-world listening situations suggests that listeners, in general, have a great deal of spatial information about multiple concurrent sounds in an auditory scene. Despite this, laboratory data would suggest that listeners should operate quite poorly in such environments. This study employed environmental sounds that would naturally occur in real-world auditory environments and m...

In order to recognise speech in a background of other sounds, human listeners must solve two perceptual problems. First, the mixture of sounds reaching the ears must be parsed to recover a description of each acoustic source, a process termed ‘auditory scene analysis’. Second, recognition of speech must be robust even when the acoustic evidence is missing due to masking by other sounds. This pa...

Sound waves emitted by two or more simultaneous sources reach the ear as one complex waveform. Auditory scene analysis involves parsing a complex waveform into separate perceptual representations of the sound sources [Bregman, A. S. Auditory scene analysis: The perceptual organization of sounds. London: MIT Press, 1990]. Harmonicity provides an important cue for auditory scene analysis. Normall...