Evidence map›Paper›PMID 37547940›Full record

ArticleTrends in hearing

Perceptual Learning of Noise-Vocoded Speech Under Divided Attention.

Han Wang, Rongru Chen, Yu Yan, Carolyn McGettigan, Stuart Rosen, Patti Adank

Open access · goldAbstract read
In one paragraph

Article in Trends in hearing. 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
0.5field-weighted citation impact, top 37% of its field
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, 3 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Han WangDepartment of Speech, Hearing and Phonetic Sciences, University College London, London, UK.ORCID 0000-0002-2479-4728
Rongru ChenDepartment of Speech, Hearing and Phonetic Sciences, University College London, London, UK.
Yu YanDepartment of Speech, Hearing and Phonetic Sciences, University College London, London, UK.
Carolyn McGettiganDepartment of Speech, Hearing and Phonetic Sciences, University College London, London, UK.
Stuart RosenDepartment of Speech, Hearing and Phonetic Sciences, University College London, London, UK.
Patti AdankDepartment of Speech, Hearing and Phonetic Sciences, University College London, London, UK.
University College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Speech perception performance for degraded speech can improve with practice or exposure. Such perceptual learning is thought to be reliant on attention and theoretical accounts like the predictive coding framework suggest a key role for attention in supporting learning. However, it is unclear whether speech perceptual learning requires undivided attention. We evaluated the role of divided attention in speech perceptual learning in two online experiments (

Indexed as

SpeechSpeech PerceptionHumansLanguageLearningNoisedivided attentionlexical processingnoise-vocoded speechperceptual learningphonological processingtask difficulty

Identifiers

PMID37547940
PMCPMC10408355
OpenAlexW4385620645

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.