Used to Be a Dime, Now It's a Dollar: Revised Speech Perception in Noise Key Word Predictability Revisited 40 Years On

J Speech Lang Hear Res. 2024 Apr 8;67(4):1229-1242. doi: 10.1044/2024_JSLHR-23-00615. Epub 2024 Apr 2.

Abstract

Purpose: Almost 40 years after its development, in this article, we reexamine the relevance and validity of the ubiquitously used Revised Speech Perception in Noise (R-SPiN) sentence corpus. The R-SPiN corpus includes "high-context" and "low-context" sentences and has been widely used in the field of hearing research to examine the benefit derived from semantic context across English-speaking listeners, but research investigating age differences has yielded somewhat inconsistent findings. We assess the appropriateness of the corpus for use today in different English-language cultures (i.e., British and American) as well as for older and younger adults.

Method: Two hundred forty participants, including older (60-80 years) and younger (19-31 years) adult groups in the the United Kingdom and United States, completed a cloze task consisting of R-SPiN sentences with the final word removed. Cloze, as a measure of predictability, and entropy, as a measure of response uncertainty, were compared between culture and age groups.

Results: Most critically, of the 200 "high-context" stimuli, only around half were assessed as highly predictable for older adults (United Kingdom: 109; United States: 107); and fewer still, for younger adults (United Kingdom: 75; United States: 81). We also found dominant responses to these "high-context" stimuli varied between cultures, with U.S. responses being more likely to match the original R-SPiN target.

Conclusions: Our findings highlight the issue of incomplete transferability of corpus items across English-language cultures as well as diminished equivalency for older and younger adults. By identifying relevant items for each population, this work could facilitate the interpretation of inconsistent findings in the literature, particularly relating to age effects.

MeSH terms

  • Aged
  • Hearing / physiology
  • Humans
  • Language
  • Noise
  • Semantics
  • Speech Perception*

Grants and funding

Lauren Hadley is supported by a U.K. Research and Innovation Future Leaders Fellowship [grant number MR/T041471/1], and Graham Naylor is supported by the Medical Research Council [grant number MR/X003620/1].