Evidence map›Paper›PMID 29224360›Full record

ArticleThe Annals of otology, rhinology, and laryngology2018

Predicting Intelligibility Deficit in Dysphonic Speech with Cepstral Peak Prominence.

Keiko Ishikawa, Alessandro de Alarcon, Sid Khosla, Lisa Kelchner, Noah Silbert, Suzanne Boyce

Abstract read
In one paragraph

Article in The Annals of otology, rhinology, and laryngology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

3 citing papers in PubMed.

  1. Article
  2. Application of a Landmark-Based Method for Acoustic Analysis of Dysphonic Speech.Journal of voice : official journal of the Voice Foundation · 2020
    Article
  3. 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

6 authors.

Keiko Ishikawa1 Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA.
Alessandro de Alarcon2 Department of Otolaryngology-Head & Neck Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Sid Khosla3 Department of Otolaryngology/Head & Neck Surgery, University of Cincinnati School of Medicine, Cincinnati, Ohio, USA.
Lisa Kelchner4 Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio, USA.
Noah Silbert4 Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio, USA.
Suzanne Boyce4 Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati, Ohio, USA.

Funding

Innovative Speech Articulation Tools for Neuroscience ResearchR44DC010104 · NIDCD · SPEECH TECHNOLOGY/APPLIED RESEARCH CORP. · PI BOYCE, SUZANNE ELIZABETH, FELL, HARRIET J · 2012 to 2014
$1.5M
Innovative Speech Articulation Tools for Neuroscience ResearchR43DC010104 · NIDCD · SPEECH TECHNOLOGY/APPLIED RESEARCH CORP. · PI BOYCE, SUZANNE ELIZABETH, FELL, HARRIET J · 2009 to 2010
$569k
NIDCD NIH HHS R43 DC010104NIDCD NIH HHS R44 DC010104
6 · The paper itself

Abstract

objectivesThe aim of this study was to examine the potential of cepstral peak prominence (CPP) for predicting the intelligibility deficit in dysphonic speech.

methodsSentences from Hearing-in-Noise Test were recorded from 18 speakers with dysphonia and 18 speakers with normal voice. These samples were presented to 60 adults with normal hearing in quiet and noise at signal to noise ratio of +0 dB. Intelligibility was measured by orthographic transcription. Cepstral peak prominence was measured for all samples. Correlation between CPP and intelligibility score was examined.

resultsIntelligibility was significantly lower in dysphonic speech than normal speech in the presence of background noise. The correlation between CPP and intelligibility score was moderate when the intelligibility scores were averaged per speaker.

conclusionsCepstral peak prominence only moderately predicts intelligibility deficit in dysphonic speech. Accordingly, CPP alone is not sufficient for describing the deficit.

Indexed as

Sound SpectrographySpeech AcousticsSpeech IntelligibilitySpeech Production MeasurementAdultAgedDysphoniaFemaleHumansMaleMiddle AgedNoiseReference ValuesSensitivity and SpecificityStatistics as Topicacoustic analysisbackground noisecepstral peak prominencedysphoniaintelligibility

Identifiers

PMID29224360
PMCPMC12338112

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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.