Evidence map›Paper›PMID 38299984›Full record

ArticleJASA express letters2024

Evaluating acoustic representations and normalization for rhoticity classification in children with speech sound disorders.

Nina R Benway, Jonathan L Preston, Asif Salekin, Elaine Hitchcock, Tara McAllister

Abstract read
In one paragraph

Article in JASA express letters, 2024. 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. Trial
  2. Article
  3. Article
  4. 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.

Nina R BenwayCommunication Sciences & Disorders, Syracuse University, Syracuse, New York 13244, USA.ORCID 0000-0003-0955-9495
Jonathan L PrestonCommunication Sciences & Disorders, Syracuse University, Syracuse, New York 13244, USA.ORCID 0000-0001-9971-6321
Asif SalekinElectrical Engineering and Computer Science, Syracuse University, Syracuse, New York 13244, USA.ORCID 0000-0002-0807-8967
Elaine HitchcockCommunication Sciences & Disorders, Montclair State University, Montclair, New Jersey 07043, USA.
Tara McAllisterCommunicative Sciences & Disorders, New York University, New York, New York 10007, USAbenway@umd.edu, jopresto@syr.edu, asalekin@syr.edu, hitchcocke@montclair.edu, tkm214@nyu.edu.ORCID 0000-0003-2230-2897

Funding

COMPARATIVE AND EVOLUTIONARY BIOLOGY OF HEARINGT32DC000046 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI Catherine Emily Carr, Matthew J. Goupell · 1994 to 2026
$7.5M
Biofeedback-Enhanced Treatment for Speech Sound Disorder: Randomized Controlled Trial and Delineation of Sensorimotor SubtypesR01DC017476 · NIDCD · NEW YORK UNIVERSITY · PI Tara McAllister · 2019 to 2026
$5.3M
Intensive Speech Motor Chaining Treatment and Artificial Intelligence Integration for Residual Speech Sound DisordersR01DC020959 · NIDCD · SYRACUSE UNIVERSITY · PI Jonathan Preston · 2023 to 2026
$2.1M
Online assessment and enhancement of auditory perception for speech sound errorsR15DC019775 · NIDCD · MONTCLAIR STATE UNIVERSITY · PI HITCHCOCK, ELAINE RUSSO · 2021 to 2024
$945k
NIDCD NIH HHS R01 DC017476NIDCD NIH HHS R01 DC020959NIDCD NIH HHS R15 DC019775NIDCD NIH HHS T32 DC000046
6 · The paper itself

Abstract

The effects of different acoustic representations and normalizations were compared for classifiers predicting perception of children's rhotic versus derhotic /ɹ/. Formant and Mel frequency cepstral coefficient (MFCC) representations for 350 speakers were z-standardized, either relative to values in the same utterance or age-and-sex data for typical /ɹ/. Statistical modeling indicated age-and-sex normalization significantly increased classifier performances. Clinically interpretable formants performed similarly to MFCCs and were endorsed for deep neural network engineering, achieving mean test-participant-specific F1-score = 0.81 after personalization and replication (σx = 0.10, med = 0.83, n = 48). Shapley additive explanations analysis indicated the third formant most influenced fully rhotic predictions.

Indexed as

Speech Sound DisorderAcousticsChildEngineeringHumansModels, StatisticalNeural Networks, Computer

Identifiers

PMID38299984
PMCPMC11522988

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.