Evidence map›Paper›PMID 31444822›Full record

ArticleDevelopmental science2020

Statistical learning of multiple speech streams: A challenge for monolingual infants.

Viridiana L Benitez, Federica Bulgarelli, Krista Byers-Heinlein, Jenny R Saffran, Daniel J Weiss

Abstract read
In one paragraph

Article in Developmental science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Infants Do Not Reliably Track When Bilingual Speakers Switch Languages.Behavioral sciences (Basel, Switzerland) · 2025
    Article
  3. Order in the Statistical Learning of Phonotactics.Journal of psycholinguistic research · 2024
    Article
  4. Article
  5. Statistical learning at a virtual cocktail party.Psychonomic bulletin & review · 2024
    Article
  6. Mixed-Language Input and Infant Volubility: Friend or Foe?Bilingualism (Cambridge, England) · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

5 authors.

Viridiana L BenitezArizona State University, Tempe, AZ, USA.
Federica BulgarelliDuke University, Durham, NC, USA.
Krista Byers-HeinleinConcordia University, Montreal, QC, Canada.
Jenny R SaffranUniversity of Wisconsin-Madison, Madison, WI, USA.
Daniel J WeissPennsylvania State University, University Park, PA, USA.

Funding

Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI POLLAK, SETH D · 2016 to 2020
$6.0M
Statistical Learning in Language AcquisitionR37HD037466 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI SAFFRAN, JENNY R. · 2011 to 2019
$2.8M
Statistical learning of multiple patterns in infants, adults, and monkeysR01HD067250 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI WEISS, DANIEL J · 2011 to 2015
$1.1M
NICHD NIH HHS R01 HD067250NICHD NIH HHS R37 HD037466NICHD NIH HHS U54 HD090256
6 · The paper itself

Abstract

Language acquisition depends on the ability to detect and track the distributional properties of speech. Successful acquisition also necessitates detecting changes in those properties, which can occur when the learner encounters different speakers, topics, dialects, or languages. When encountering multiple speech streams with different underlying statistics but overlapping features, how do infants keep track of the properties of each speech stream separately? In four experiments, we tested whether 8-month-old monolingual infants (N = 144) can track the underlying statistics of two artificial speech streams that share a portion of their syllables. We first presented each stream individually. We then presented the two speech streams in sequence, without contextual cues signaling the different speech streams, and subsequently added pitch and accent cues to help learners track each stream separately. The results reveal that monolingual infants experience difficulty tracking the statistical regularities in two speech streams presented sequentially, even when provided with contextual cues intended to facilitate separation of the speech streams. We discuss the implications of our findings for understanding how infants learn and separate the input when confronted with multiple statistical structures.

Indexed as

Language DevelopmentLearningSpeech PerceptionCuesFemaleHumansInfantLanguageMaleSpeechbilingualisminfantslanguage developmentmultiple representationsmulti-stream segmentationstatistical learningword learning

Identifiers

PMID31444822
PMCPMC7028448

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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.