Sentence examples for sound segregation from inspiring English sources

Studying multiple brain indices simultaneously helps illuminate the mechanisms and time-course of neural processing underlying concurrent sound segregation and may lead to further development and refinement of physiologically driven models of auditory scene analysis.

Although these studies provide a window into the cerebral mechanisms governing sound segregation, little is known about the subcortical neural architecture and hierarchy of neurocomputations that lead to this robust perceptual process.

Using computational modeling, scalp-recorded brainstem/cortical ERPs, and human psychophysics, we demonstrate that a primary cue for sound segregation, i.e., harmonicity, is encoded at the auditory nerve level within tens of milliseconds after the onset of sound and is maintained, largely untransformed, in phase-locked activity of the rostral brainstem.

In this latter case, additional sound cues like sound source location in space will be crucially important for sound segregation (i.e. speaker separation) and the mechanism discussed here would be rather ineffective.

The presence of a noise masker has been shown to engage frontal and parietal cortices, suggesting that selective attention plays a critical role in sound segregation (Scott et al. 2004).

These results suggest that in the presence of distracting messages, motion of either target or distracters and/or small spatial separation of the key words may be beneficial for sound source segregation and thus for improved speech recognition.

In a first set of experiments we tested the hypothesis that inhibition within AI acts globally, implementing a "winner-take-all" algorithm for sound object segregation on the basis of periodicity discrimination.

For example, intramodal grouping and segregation of sound pairs can enhance the segregation and discrimination of concurrent visual events [16] [18] and bias visual temporal-order judgments [19].

Nevertheless, Warren et al. [ 2003b] propose that tracking of acoustic information streams occurs in anterior auditory areas, anterior to HG, whereas the segregation of sound objects (a crucial aspect of auditory scene analysis) depends on posterior areas.

This might indicate that spectral differences between signal and noise allow quick and rough segregation of sound signals in noisy environments in the left hemisphere by applying short temporal integration windows at the expense of slow and fine frequency analysis, which is dominantly accomplished in the right hemisphere.

We designed a novel battery to probe two generic processes of fundamental relevance to ASA: the segregation of coincident sounds into separate sound objects; and the perceptual grouping of temporally spaced sounds into a single extended object (a sound 'stream'stream