Evidence map›Paper›PMID 29977950›Full record

ArticleLanguage, cognition and neuroscience2017

Word segmentation from noise-band vocoded speech.

Tina M Grieco-Calub, Katherine M Simeon, Hillary E Snyder, Casey Lew-Williams

Abstract read
In one paragraph

Article in Language, cognition and neuroscience, 2017. 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. How to vocode: Using channel vocoders for cochlear-implant research.The Journal of the Acoustical Society of America · 2024
    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.

Tina M Grieco-CalubThe Roxelyn & Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.
Katherine M SimeonThe Roxelyn & Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.
Hillary E SnyderThe Roxelyn & Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.
Casey Lew-WilliamsDepartment of Psychology, Princeton University, Princeton, NJ, USA.

Funding

Bilingual Infants' and Toddlers' Processing of Mixed LanguageR03HD079779 · NICHD · PRINCETON UNIVERSITY · PI LEW-WILLIAMS, CASEY · 2015 to 2016
$147k
NICHD NIH HHS R03 HD079779
6 · The paper itself

Abstract

Spectral degradation reduces access to the acoustics of spoken language and compromises how learners break into its structure. We hypothesised that spectral degradation disrupts word segmentation, but that listeners can exploit other cues to restore detection of words. Normal-hearing adults were familiarised to artificial speech that was unprocessed or spectrally degraded by noise-band vocoding into 16 or 8 spectral channels. The monotonic speech stream was pause-free (Experiment 1), interspersed with isolated words (Experiment 2), or slowed by 33% (Experiment 3). Participants were tested on segmentation of familiar vs. novel syllable sequences and on recognition of individual syllables. As expected, vocoding hindered both word segmentation and syllable recognition. The addition of isolated words, but not slowed speech, improved segmentation. We conclude that syllable recognition is necessary but not sufficient for successful word segmentation, and that isolated words can facilitate listeners' access to the structure of acoustically degraded speech.

Indexed as

isolated wordsnoise-band vocodingspectral degradationspeech rateWord segmentation

Identifiers

PMID29977950
PMCPMC6028043

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.