ArticleHearing research2021
Sensitivity to temporal structure facilitates perceptual analysis of complex auditory scenes.
Article in Hearing research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The Interplay of Bottom-Up Arousal and Attentional Capture during Auditory Scene Analysis: Evidence from Ocular Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Humans can find rhythm in randomly timed sounds.Royal Society open science · 2025Article
- Noises on-How the Brain Deals with Acoustic Noise.Biology · 2024Review
- Article
- Perceived rhythmic regularity is greater for song than speech: examining acoustic correlates of rhythmic regularity in speech and song.Frontiers in psychology · 2023Article
- Predictability-Based Source Segregation and Sensory Deviance Detection in Auditory Aging.Frontiers in human neuroscience · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The notion that sensitivity to the statistical structure of the environment is pivotal to perception has recently garnered considerable attention. Here we investigated this issue in the context of hearing. Building on previous work (Sohoglu and Chait, 2016a; elife), stimuli were artificial 'soundscapes' populated by multiple (up to 14) simultaneous streams ('auditory objects') comprised of tone-pip sequences, each with a distinct frequency and pattern of amplitude modulation. Sequences were either temporally regular or random. We show that listeners' ability to detect abrupt appearance or disappearance of a stream is facilitated when scene streams were characterized by a temporally regular fluctuation pattern. The regularity of the changing stream as well as that of the background (non-changing) streams contribute independently to this effect. Remarkably, listeners benefit from regularity even when they are not consciously aware of it. These findings establish that perception of complex acoustic scenes relies on the availability of detailed representations of the regularities automatically extracted from multiple concurrent streams.
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Registered trials
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