Evidence map›Paper›PMID 29195420›Full record

ArticleThe Journal of the Acoustical Society of America2017

Toward clinical application of landmark-based speech analysis: Landmark expression in normal adult speech.

Keiko Ishikawa, Joel MacAuslan, Suzanne Boyce

Abstract readComparative Study
In one paragraph

Article in The Journal of the Acoustical Society of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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

3 authors.

Keiko IshikawaDepartment of Speech and Hearing Science, University of Illinois at Urbana-Champaign, 901 South 6th Street, Champaign, Illinois 61820, USA ishikak@illinois.edu.
Joel MacAuslanSpeech Technology and Applied Research Corporation, 54 Middlesex Turnpike, Bedford, Massachusetts 01730, USA JoelM@STARAnalyticalServices.com.
Suzanne BoyceDepartment of Communication Sciences and Disorders, University of Cincinnati, 3202 Eden Avenue, Cincinnati, Ohio 45267, USA boycese@ucmail.uc.edu.

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
visiBabble, a System for Early Speech InterventionR42DC005534 · NIDCD · SPEECH TECHNOLOGY/APPLIED RESEARCH CORP. · PI FELL, HARRIET J · 2004 to 2006
$1.0M
Advanced Technology and Tools for DBS Programming for Speech FunctionalityR42AG033523 · NIA · SPEECH TECHNOLOGY/APPLIED RESEARCH CORP. · PI VAN HORNE, CRAIG · 2008 to 2009
$957k
Innovative Speech Articulation Tools for Neuroscience ResearchR43DC010104 · NIDCD · SPEECH TECHNOLOGY/APPLIED RESEARCH CORP. · PI BOYCE, SUZANNE ELIZABETH, FELL, HARRIET J · 2009 to 2010
$569k
Measures of Sleep Deprivation from Speech ArticulationR21HL086689 · NHLBI · UNIVERSITY OF CINCINNATI · PI BOYCE, SUZANNE ELIZABETH · 2007 to 2008
$467k
visiBabble, a System for Early Speech InterventionR41DC005534 · NIDCD · SPEECH TECHNOLOGY/APPLIED RESEARCH CORP. · PI FELL, HARRIET J · 2002 to 2003
$126k
NHLBI NIH HHS R21 HL086689NIA NIH HHS R42 AG033523NIDCD NIH HHS R41 DC005534NIDCD NIH HHS R42 DC005534NIDCD NIH HHS R44 DC010104
6 · The paper itself

Abstract

The goal of clinical speech analysis is to describe abnormalities in speech production that affect a speaker's intelligibility. Landmark analysis identifies abrupt changes in a speech signal and classifies them according to their acoustic profiles. These acoustic markers, called landmarks, may help describe intelligibility deficits in disordered speech. As a first step toward clinical application of landmark analysis, the present study describes expression of landmarks in normal speech. Results of the study revealed that syllabic, glottal, and burst landmarks consist of 94% of all landmarks, and suggest the effect of gender needs to be considered for the analysis.

Indexed as

AcousticsSignal Processing, Computer-AssistedSpeech AcousticsSpeech IntelligibilityVoice QualityAdultFemaleHumansMaleMiddle AgedPattern Recognition, AutomatedSex FactorsSound SpectrographySpeech Production MeasurementYoung Adult

Identifiers

PMID29195420
PMCPMC5724626

What OpenQuestion holds

Textmetadata
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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.