Evidence map›Paper›PMID 31012064›Full record

ArticleBehavior research methods2020

Non-native speech recognition sentences: A new materials set for non-native speech perception research.

Louise Stringer, Paul Iverson

Abstract read
In one paragraph

Article in Behavior research methods, 2020. 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.

  1. Auditory and Semantic Processing of Speech-in-Noise in Autism: A Behavioral and EEG Study.Autism research : official journal of the International Society for Autism Research · 2025
    Article
  2. Article
  3. Review
  4. Does Sentence-Level Coarticulation Affect Speech Recognition in Noise or a Speech Masker?Journal of speech, language, and hearing research : JSLHR · 2021
    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

2 authors.

Louise StringerDepartment of Speech, Hearing and Phonetic Sciences, University College London, London, UK. louise.stringer@york.ac.uk.
Paul IversonDepartment of Speech, Hearing and Phonetic Sciences, University College London, London, UK.

Funding

FP7 People: Marie-Curie Actions FP7-PEOPLE-2011-290000
6 · The paper itself

Abstract

Research into non-native (L2) speech perception has increased the need for specialized experimental materials. The Non-Native Speech Recognition (NNSR) sentences are a new large-scale set of speech recognition materials for research with L2 speakers of English at CEFR level B1 (North, Ortega, & Sheehan, 2010) and above. The set comprises 439 triplets of sentences in three related conditions: semantically predictable, neutral, and anomalous. The sentences were created by combining a strongly or weakly contextually constrained sentence frame with a congruent or anomalous final keyword, and they were matched on a number of factors during development, to maintain consistency across conditions. This article describes the development process of the NNSR sentences, along with results of speech-in-noise intelligibility testing for L2 and native English speakers. Suggestions for the sentences' application in a range of investigations and experimental designs are also discussed.

Indexed as

Speech PerceptionAdolescentFemaleHumansLanguageMaleSpeechYoung AdultL2 speech perceptionStimulus set

Identifiers

PMID31012064
PMCPMC7148274

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LicenceCC BY
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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.