Claims

Three weeks of computer-based speechreading training improves audiovisual speech-in-noise comprehension in middle-aged and older adults, with the effect limited to the audiovisual condition

Claim · All claims
Evidence · 1 study (2 entries) · causal r1 · q3
Currency · newest study 2023 · checked against its sources 2026-10-26 (automated, 2 of 2 entries) · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? The speechreading training group improved significantly from pre- to post-training in the audiovisual condition, as shown by a significant three-way interaction between condition, session, and group (ΔΧ2(4) = 13.62, p = 0.009). → Raffael Schmitt 2023 q3 i? The improvement was present only in the speechreading training group and only for the audiovisual condition, not the audio-only condition. → Raffael Schmitt 2023 q3 i? The speechreading training and active control groups did not differ significantly at pre-training in the audiovisual condition (OR = 0.75, 95% CI [0.45, 1.25], p = 0.271), which the authors read as suggesting baseline differences did not confound the training effect; a non-significant test does not show the non-randomised groups were equivalent. → Raffael Schmitt 2023 (2)

Evidence

Raffael Schmitt 2023

Raffael Schmitt, Martin Meyer and Nathalie Giroud. (2023). Improvements in naturalistic speech-in-noise comprehension in middle-aged and older adults after 3 weeks of computer-based speechreading training. npj Science of Learning 8:32. https://doi.org/10.1038/s41539-023-00179-6

q3 · i? · causal · r1

GLMM analysis of single-trial data from 32 speechreading-training and 30 active-control participants on a naturalistic speech-in-noise task. The article reports "a signi ficant training effect" with the ST group improving in the AV condition, supported by the three-way interaction ΔΧ2(4) = 13.62, p = 0.009 (condition [AV]:session [post]:group [ST] OR = 1.07, p = 0.047).

"Using generalized linear mixed-effects models (GLMMs) on single-trial data, we found a signi ficant training effect, with the ST group improving signi ficantly from pre- to post-training in the audiovisual (AV) condition."

Raffael Schmitt 2023 (2)

Raffael Schmitt, Martin Meyer and Nathalie Giroud. (2023). Improvements in naturalistic speech-in-noise comprehension in middle-aged and older adults after 3 weeks of computer-based speechreading training. npj Science of Learning 8:32. https://doi.org/10.1038/s41539-023-00179-6

q3 · i? · causal · r1

Supplementary GLMM re-run with treatment coding comparing speechreading training and active control groups at pre-training in the audiovisual condition. The groups "did not signi ficantly differ at pre-training" (OR = 0.75, 95% CI[0.45, 1.25], p = 0.271). The authors take this as suggesting baseline differences did not confound the effect; it shows no significant difference was detected, not that the groups, which were not randomly assigned, were equivalent.

"Indeed, the two groups did not signi ficantly differ at pre-training (OR = 0.75, 95% CI[0.45, 1.25], p = 0.271) (Fig. 5 and Supplementary Table 3) suggesting that baseline differences in AV did not pose a potentially confounding factor."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id speechreading-training-improves-av-speech-in-noise
title Three weeks of computer-based speechreading training improves audiovisual speech-in-noise comprehension in middle-aged and older adults, with the effect limited to the audiovisual condition
description Three weeks of computer-based speechreading training improves audiovisual speech-in-noise comprehension in middle-aged and older adults, with the effect limited to the audiovisual condition
status review
evidence_strength moderate
newest_evidence 2023
source_checked 2026-10-26
generated by process:wiki-ingest on 2026-10-26
trust unverified — no one has confirmed this page's content
sources 2 — raffael-schmitt-2023, raffael-schmitt-2023-2

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