11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      ‘Normal’ hearing thresholds and fundamental auditory grouping processes predict difficulties with speech-in-noise perception

      Preprint
      ,
      bioRxiv

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Understanding speech when background noise is present is a critical everyday task that varies widely among people. A key challenge is to understand why some people struggle with speech-in-noise perception, despite having clinically normal hearing. Here, we developed new figure-ground tests that require participants to extract a coherent tone pattern from a stochastic background of tones. These tests dissociated variability in speech-in-noise perception related to mechanisms for detecting static (same-frequency) patterns and those for tracking patterns that change frequency over time. In addition, elevated hearing thresholds that are widely considered to be ‘normal’ explained significant variance in speech-in-noise perception, independent of figure-ground perception. Overall, our results demonstrate that successful speech-in-noise perception is related to audiometric thresholds, fundamental grouping of static acoustic patterns, and tracking of acoustic sources that change in frequency. Crucially, measuring both peripheral (audiometric thresholds) and central (grouping) processes is required to adequately assess speech-in-noise deficits.

          Related collections

          Author and article information

          Journal
          bioRxiv
          March 16 2019
          Article
          10.1101/578393
          1ffdb4c3-acda-47ca-90c2-2e8685c00845
          © 2019
          History

          Molecular medicine,Neurosciences
          Molecular medicine, Neurosciences

          Comments

          Comment on this article