2018
DOI: 10.1111/ejn.13981
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Sparse periodicity‐based auditory features explain human performance in a spatial multitalker auditory scene analysis task

Abstract: Human listeners robustly decode speech information from a talker of interest that is embedded in a mixture of spatially distributed interferers. A relevant question is which time-frequency segments of the speech are predominantly used by a listener to solve such a complex Auditory Scene Analysis task. A recent psychoacoustic study investigated the relevance of low signal-to-noise ratio (SNR) components of a target signal on speech intelligibility in a spatial multitalker situation. For this, a three-talker sti… Show more

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Cited by 10 publications
(19 citation statements)
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“…The timbre task may have even better allowed for successful listening in the dips because it only required to identify the right instrument only from one of the four sequence tones, whereas the pitch sequence task required listeners to extract the full pitch sequence from the mixture. It is possible that yNH listeners require only sparse information comparable to auditory glimpses ( Cooke, 2006 ; Josupeit et al., 2018 ) to identify the instruments present in a mixture—a potential feature of the healthy auditory system that musicians may take for granted when building dense music compositions and productions.…”
Section: Discussionmentioning
confidence: 99%
“…The timbre task may have even better allowed for successful listening in the dips because it only required to identify the right instrument only from one of the four sequence tones, whereas the pitch sequence task required listeners to extract the full pitch sequence from the mixture. It is possible that yNH listeners require only sparse information comparable to auditory glimpses ( Cooke, 2006 ; Josupeit et al., 2018 ) to identify the instruments present in a mixture—a potential feature of the healthy auditory system that musicians may take for granted when building dense music compositions and productions.…”
Section: Discussionmentioning
confidence: 99%
“…Discarded pixels are not merely set to zero: they are given zero weight (Cooke et al, 1997). Spectro-temporal glimpsing has been proposed in speech processing applications (Wang & Brown, 2006; Wang, 2008), and to account for human perceptual abilities and derive predictive measures of intelligibility (e.g., Best et al, 2019; Josupeit et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Spectro-temporal glimpsing has been proposed in speech processing applications (Wang and Brown, 2006), and to account for human perceptual abilities and derive predictive measures of intelligibility (e.g. Best et al, 2019;Josupeit et al, 2020). Discarded patterns are not merely set to zero: they are given zero weight in subsequent processing (Cooke et al, 1997).…”
Section: Introductionmentioning
confidence: 99%