Evidence map›Paper›PMID 35705680›Full record

ArticleScientific reports2022

Rapid but specific perceptual learning partially explains individual differences in the recognition of challenging speech.

Karen Banai, Hanin Karawani, Limor Lavie, Yizhar Lavner

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Karen BanaiDepartment of Communication Sciences and Disorders, University of Haifa, Haifa, Israel. kbanai@research.haifa.ac.il.ORCID 0000-0002-2990-0470
Hanin KarawaniDepartment of Communication Sciences and Disorders, University of Haifa, Haifa, Israel.ORCID 0000-0003-1346-8502
Limor LavieDepartment of Communication Sciences and Disorders, University of Haifa, Haifa, Israel.ORCID 0000-0002-6745-4213
Yizhar LavnerDepartment of Computer Science, Tel-Hai College, Qiryat Shemona, Israel.ORCID 0000-0002-2865-0465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perceptual learning for speech, defined as long-lasting changes in speech recognition following exposure or practice occurs under many challenging listening conditions. However, this learning is also highly specific to the conditions in which it occurred, such that its function in adult speech recognition is not clear. We used a time-compressed speech task to assess learning following either brief exposure (rapid learning) or additional training (training-induced learning). Both types of learning were robust and long-lasting. Individual differences in rapid learning explained unique variance in recognizing natural-fast speech and speech-in-noise with no additional contribution for training-induced learning (Experiment 1). Rapid learning was stimulus specific (Experiment 2), as in previous studies on training-induced learning. We suggest that rapid learning is key for understanding the role of perceptual learning in online speech recognition whereas longer training could provide additional opportunities to consolidate and stabilize learning.

Indexed as

SpeechSpeech PerceptionIndividualityLearningRecognition, Psychology

Identifiers

PMID35705680
PMCPMC9200863

What OpenQuestion holds

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Registered trials

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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.