A data-limit account of spatial and spectral release from masking during speech-on-speech listening

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Authors: Sarah Knight, Rachel Yue, Georgie Maher, Ronan McGarrigle, Sven L. Mattys
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Abstract

Speech-on-speech listening involves selectively attending to a target talker while ignoring a simultaneous competing talker.Spatially separating the talkers improves performance, a phenomenon known as spatial release from masking (spatial RM).The same is true of spectral separation, that is, filtering the talkers into non-overlapping frequency bands (spectral RM).The relative benefit of spatial versus spectral RM is currently unknown.Furthermore, it is unclear how listeners' ability to exploit spatial versus spectral cues is related to individual differences in cognition.The resource-limit account suggests that cognitive resources are required to support the processing of degraded speech, implying the strongest cognition/performance relationship when RM is limited or absent.However, an alternative claim, referred to as the data-limit account, suggests that cognitive resources cease to be useful when the target is severely degraded.In this study, participants (N = 240) completed a selective listening task in which they transcribed the speech of one of two simultaneously presented talkers.The speech was filtered into interleaved or overlapping frequency bands (spectral RM vs. no spectral RM) and presented dichotically or collocated (a proxy for spatial RM vs. no spatial RM).A battery of cognitive tasks was administered to assess working memory/attention.Spectral RM provided at least as much benefit as spatial RM, with the best performance when both RM types were present.Cognitive scores were significantly positively correlated with RM benefits.However, the weakest correlation between cognitive scores and performance was observed in the no-RM condition.The results therefore support

Fields of Study & Subjects

Hearing Loss and Rehabilitation Phonetics and Phonology Research Neuroscience and Music Perception

Publication details

Journal / source
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Publication date
19 January 2026
Language
EN