Evidence map›Paper›PMID 32915719›Full record

ArticleIEEE transactions on bio-medical engineering2021

Evaluation of a Wireless Tongue Tracking System on the Identification of Phoneme Landmarks.

Nordine Sebkhi, Nina Santus, Arpan Bhavsar, Shayan Siahpoushan, Omer T Inan

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Accurate estimation of biological age and its application in disease prediction using a multimodal image Transformer system.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. 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 at 2 institutions in 1 country.

Nordine Sebkhi
Nina Santus
Arpan Bhavsar
Shayan Siahpoushan
Omer T Inan
Georgia Institute of Technology · USUniversity of Georgia · US

Funding

Multimodal Speech Translation for Assistive CommunicationR21EB018764 · NIBIB · NORTHEASTERN UNIVERSITY · PI PATEL, RUPAL · 2014 to 2015
$413k
NIBIB NIH HHS R21 EB018764
6 · The paper itself

Abstract

objectiveEvaluate the accuracy of a tongue tracking system based on the localization of a permanent magnet to generate a baseline of phoneme landmarks. The positional variability of the landmarks provides an indirect measure of the tracking errors to estimate the position of a small tracer attached on the tongue. The creation of a subject-independent (universal) baseline was also attempted for the first time.

method2,500 tongue trajectories were collected from 10 subjects tasked to utter 10 repetitions of 25 phonemes. A landmark was identified from each tongue trajectory, and tracking errors were calculated by comparing the distance of each repetition landmark to a final landmark set as their mean position.

resultsIn the subject-dependent baseline, the tracking errors were found to be generally consistent across all phonemes, and subjects, with less than 25% of the errors reported to be greater than 5.8 mm (median: 3.9 mm). However, the inter-subject variability showed that current limitations of our system resulted in appreciable errors (median: 55 mm, Q3: 65 mm).

conclusionThe tracking errors reported in the subject-dependent case demonstrated the potential of our system to generate a baseline of phoneme landmarks. We have identified areas of improvement that will reduce the gap between the subject-dependent, and universal baseline, while lowering tracking errors to be comparable to the gold standard. SIGNIFICANCE: Creating a baseline of phoneme landmarks can help people affected by speech sound disorders to improve their intelligibility using visual feedback that guides their tongue placement to the proper position.

Indexed as

Feedback, SensoryTongueHumans

Identifiers

PMID32915719
PMCPMC8034549
OpenAlexW3085125389

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.