Evidence map›Paper›PMID 26826999›Full record

ArticleThe Journal of the Acoustical Society of America2016

The neural encoding of formant frequencies contributing to vowel identification in normal-hearing listeners.

Jong Ho Won, Kelly Tremblay, Christopher G Clinard, Richard A Wright, Elad Sagi, Mario Svirsky

Abstract readComparative Study
In one paragraph

Article in The Journal of the Acoustical Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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  4. Review
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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

6 authors.

Jong Ho WonDepartment of Speech and Hearing Sciences, University of Washington, Seattle, Washington 98105, USA.
Kelly TremblayDepartment of Speech and Hearing Sciences, University of Washington, Seattle, Washington 98105, USA.
Christopher G ClinardDepartment of Communication Sciences and Disorders, James Madison University, Harrisonburg, Virginia 22807, USA.
Richard A WrightDepartment of Linguistics, University of Washington, Seattle, Washington 98195, USA.
Elad SagiDepartment of Otolaryngology, New York University School of Medicine, New York, New York 10016, USA.
Mario SvirskyDepartment of Otolaryngology, New York University School of Medicine, New York, New York 10016, USA.

Funding

MODELS OF SPEECH PERCEPTION BY COCHLEAR IMPLANT USERSR01DC003937 · NIDCD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SVIRSKY, MARIO A · 1999 to 2020
$7.2M
Training Program in Hearing and BalanceT32DC000033 · NIDCD · UNIVERSITY OF WASHINGTON · PI WERNER, LYNNE A. · 1991 to 2015
$3.9M
Linking SNR to hearing aid successR01DC012769 · NIDCD · UNIVERSITY OF WASHINGTON · PI BENTLER, RUTH A, TREMBLAY, KELLY · 2013 to 2017
$1.4M
NIDCD NIH HHS R01 DC003937NIDCD NIH HHS R01 DC012769NIDCD NIH HHS R01-DC012769-03NIDCD NIH HHS R01-DC03937NIDCD NIH HHS T32 DC000033NIDCD NIH HHS T32-DC000033
6 · The paper itself

Abstract

Even though speech signals trigger coding in the cochlea to convey speech information to the central auditory structures, little is known about the neural mechanisms involved in such processes. The purpose of this study was to understand the encoding of formant cues and how it relates to vowel recognition in listeners. Neural representations of formants may differ across listeners; however, it was hypothesized that neural patterns could still predict vowel recognition. To test the hypothesis, the frequency-following response (FFR) and vowel recognition were obtained from 38 normal-hearing listeners using four different vowels, allowing direct comparisons between behavioral and neural data in the same individuals. FFR was employed because it provides an objective and physiological measure of neural activity that can reflect formant encoding. A mathematical model was used to describe vowel confusion patterns based on the neural responses to vowel formant cues. The major findings were (1) there were large variations in the accuracy of vowel formant encoding across listeners as indexed by the FFR, (2) these variations were systematically related to vowel recognition performance, and (3) the mathematical model of vowel identification was successful in predicting good vs poor vowel identification performers based exclusively on physiological data.

Indexed as

AdultAgedCochleaCuesEvoked Potentials, AuditoryFemaleHumansMaleMiddle AgedModels, NeurologicalMonte Carlo MethodPerceptual MaskingPhoneticsRecognition, PsychologySpeech AcousticsSpeech Perception

Identifiers

PMID26826999
PMCPMC4706540

What OpenQuestion holds

Textmetadata
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.