Evidence map›Paper›PMID 40201035›Full record

ArticleInterspeech2024

How Does Alignment Error Affect Automated Pronunciation Scoring in Children's Speech?

Prad Kadambi, Tristan Mahr, Lucas Annear, Henry Nomeland, Julie Liss, Katherine Hustad, Visar Berisha

Abstract read
In one paragraph

Article in Interspeech, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Prad KadambiArizona State University, USA.
Tristan MahrUniversity of Wisconsin-Madison, USA.
Lucas AnnearUniversity of Wisconsin-Madison, USA.
Henry NomelandUniversity of Wisconsin-Madison, USA.
Julie LissArizona State University, USA.
Katherine HustadUniversity of Wisconsin-Madison, USA.
Visar BerishaArizona State University, USA.

Funding

Differential Diagnosis of Functional Speech Deficits in Children with Cerebral PalsyR01DC015653 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine C Hustad · 2016 to 2026
$4.8M
Quantifying articulatory performance in children with dysarthria: Development of an automated metric for clinical useR01DC019645 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI Visar Berisha, Katherine C Hustad · 2022 to 2026
$3.0M
NIDCD NIH HHS R01 DC015653NIDCD NIH HHS R01 DC019645
6 · The paper itself

Abstract

Automated goodness of pronunciation scores measure deviation from typical adult speech by first phonetically segmenting speech using forced alignment and then computing phoneme likelihoods. Care must be taken to distinguish between the impact of alignment error (a spurious signal) and true acoustic deviation on the automated score. Using mixed effects modeling, we predict

Indexed as

alignment errorautomatic pronunciation evaluationforced alignmentgoodness of pronunciationphoneme segmentation

Identifiers

PMID40201035
PMCPMC11977302

What OpenQuestion holds

Textmetadata
LicenceTDM
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.