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Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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Interdependent processing and encoding of speech and concurrent background noise.

Angela Cooper1, Susanne Brouwer, Ann R Bradlow

  • 1Department of Linguistics, Northwestern University, 2016 Sheridan Road, Evanston, IL, 60208, USA, akcooper@u.northwestern.edu.

Attention, Perception & Psychophysics
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Summary
This summary is machine-generated.

Background noise and speech features are processed together, even when spectrally separated. This integral processing is influenced by how relevant the sounds are and how much they overlap.

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Area of Science:

  • Auditory perception
  • Speech processing
  • Cognitive psychology

Background:

  • Adverse listening conditions with mixed speech and noise are common.
  • Understanding how the brain processes speech amidst noise is crucial for hearing research.

Purpose of the Study:

  • Investigate processing dependencies between background noise and indexical speech features.
  • Determine if background noise is encoded in memory for spoken words.
  • Examine the role of spectral overlap between speech and noise.

Main Methods:

  • Speeded classification paradigm (Experiment 1).
  • Continuous recognition memory paradigm (Experiment 2).
  • Manipulation of spectral overlap between speech and background noise.

Main Results:

  • Background noise and speech indexical features (gender, talker identity) are not fully segregated during processing, even without spectral overlap.
  • Perceptual interference was asymmetric: speech features more strongly affected noise classification than vice versa.
  • Recognition memory costs for words in noise only appeared with spectral overlap.

Conclusions:

  • Speech and background noise undergo integral processing.
  • Processing is modulated by the level of attention and spectral separation.
  • Listeners find it harder to ignore speech features than background noise due to functional relevance.