Evidence map›Paper›PMID 37219432›Full record

ArticleJASA express letters2023

Clear speech promotes speaking rate normalization.

Lilah Kahloon, Anya E Shorey, Caleb J King, Christian E Stilp

Abstract read
In one paragraph

Article in JASA express letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lilah KahloonDepartment of Psychological and Brain Sciences, University of Louisville, Louisville, Kentucky 40292, USAlilah.kahloon@louisville.edu, anya.shorey@louisville.edu, caleb.king.1@louisville.edu, christian.stilp@louisville.edu.
Anya E ShoreyDepartment of Psychological and Brain Sciences, University of Louisville, Louisville, Kentucky 40292, USAlilah.kahloon@louisville.edu, anya.shorey@louisville.edu, caleb.king.1@louisville.edu, christian.stilp@louisville.edu.
Caleb J KingDepartment of Psychological and Brain Sciences, University of Louisville, Louisville, Kentucky 40292, USAlilah.kahloon@louisville.edu, anya.shorey@louisville.edu, caleb.king.1@louisville.edu, christian.stilp@louisville.edu.
Christian E StilpDepartment of Psychological and Brain Sciences, University of Louisville, Louisville, Kentucky 40292, USAlilah.kahloon@louisville.edu, anya.shorey@louisville.edu, caleb.king.1@louisville.edu, christian.stilp@louisville.edu.ORCID 0000-0002-5119-201X

Funding

Perception of speech in context by listeners with healthy and impaired hearingR01DC020303 · NIDCD · UNIVERSITY OF LOUISVILLE · PI Christian Edmund Stilp, Matthew Brandon Winn · 2022 to 2026
$1.3M
NIDCD NIH HHS R01 DC020303
6 · The paper itself

Abstract

When speaking in noisy conditions or to a hearing-impaired listener, talkers often use clear speech, which is typically slower than conversational speech. In other research, changes in speaking rate affect speech perception through speaking rate normalization: Slower context sounds encourage perception of subsequent sounds as faster, and vice versa. Here, on each trial, listeners heard a context sentence before the target word (which varied from "deer" to "tier"). Clear and slowed conversational context sentences elicited more "deer" responses than conversational sentences, consistent with rate normalization. Changing speaking styles aids speech intelligibility but might also produce other outcomes that alter sound/word recognition.

Indexed as

Speech IntelligibilitySpeech PerceptionHearingHydrolasesSoundHydrolases

Identifiers

PMID37219432
PMCPMC11303017

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.