Evidence map›Paper›PMID 35839638›Full record

ArticlePsychiatry research2022

Using automated syllable counting to detect missing information in speech transcripts from clinical settings.

Marama Diaz-Asper, Terje B Holmlund, Chelsea Chandler, Catherine Diaz-Asper, Peter W Foltz, Alex S Cohen, Brita Elvevåg

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychiatry research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

7 authors at 5 institutions in 2 countries.

Marama Diaz-AsperWashington International School, Washington DC, United States.
Terje B HolmlundDepartment of Clinical Medicine, University of Tromsø - The Arctic University of Norway, Tromsø, Norway.
Chelsea ChandlerDepartment of Computer Science, University of Colorado Boulder, CO, United States.
Catherine Diaz-AsperDepartment of Psychology, Marymount University, Arlington, VA, United States.
Peter W FoltzInstitute of Cognitive Science, University of Colorado Boulder, CO, United States.
Alex S CohenDepartment of Psychology, Louisiana State University, LA, United States.
Brita ElvevågDepartment of Clinical Medicine, University of Tromsø - The Arctic University of Norway, Tromsø, Norway; Norwegian Center for eHealth Research, University Hospital of North Norway, Tromsø, Norway. Electronic address: brita.elvevag@uit.no.
University of Colorado Boulder · USLouisiana State University · USMarymount University · USUiT The Arctic University of Norway · NOUniversity Hospital of North Norway · NO

Funding

Dementia Screening Using Automated Speech Analysis: A Pilot StudyR03AG052416 · NIA · MARYMOUNT UNIVERSITY · PI DIAZ-ASPER, CATHERINE · 2018 to 2019
$123k
NIA NIH HHS R03 AG052416
6 · The paper itself

Abstract

Speech rate and quantity reflect clinical state; thus automated transcription holds potential clinical applications. We describe two datasets where recording quality and speaker characteristics affected transcription accuracy. Transcripts of low-quality recordings omitted significant portions of speech. An automated syllable counter estimated actual speech output and quantified the amount of missing information. The efficacy of this method differed by audio quality: the correlation between missing syllables and word error rate was only significant when quality was low. Automatically counting syllables could be useful to measure and flag transcription omissions in clinical contexts where speaker characteristics and recording quality are problematic.

Indexed as

SpeechSpeech PerceptionHumansPhoneticsSpeech Production MeasurementAutomatic speech recognitionSyllablesWord error rate

Identifiers

PMID35839638
PMCPMC9378537
OpenAlexW4284702026

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.