Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Daily Notes: Tropical dermatology course in Moshi, Tanzania, 2014].

Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG·2014
Same author

[Early diagnosis of infant hearing impairment after introduction of newborn hearing screening (UNHS)].

Laryngo- rhino- otologie·2012
Same author

[Perceptual and acoustic evaluation of hoarseness].

Laryngo- rhino- otologie·2011
Same author

[Respiratory problems of unknown cause of a teacher and a veterinarian].

Laryngo- rhino- otologie·2010
Same author

Normative data collection of the Marburg Concentration Test for Pre-school Children (German: MKVK).

Child: care, health and development·2010
Same author

[Speech perception in noise with and without FM technology].

HNO·2010

Related Experiment Video

Updated: Jun 13, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
05:48

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

[Standardised voice diagnostics--first experiences with a computer-aided voice strain test].

H Hanschmann1, M Wlodarz, R Berger

  • 1Philipps-Universität Marburg, Klinik für Phoniatrie und Pädaudiologie, Marburg. holger.hanschmann@med.uni-marburg.de

Laryngo- Rhino- Otologie
|April 14, 2010
PubMed
Summary

A new computer-aided voice strain test helps identify reduced vocal resilience in individuals with voice disorders. This method simulates professional vocal demands, aiding in the documentation of vocal load capacity deficits.

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
06:04

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

Related Experiment Videos

Last Updated: Jun 13, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis
05:48

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
06:04

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

Area of Science:

  • Otolaryngology
  • Speech-Language Pathology
  • Acoustic Analysis

Context:

  • Standardized quantification of vocal strain deficits remains a challenge.
  • Investigating vocal parameters under real professional demands is in its early stages.
  • Computer-aided testing allows simulation of demanding vocal tasks in shorter durations.

Purpose:

  • To introduce and evaluate a novel computer-aided voice strain test.
  • To assess vocal load capacity and resilience in patients with voice disorders.
  • To provide a quantifiable method for identifying vocal strain.

Summary:

  • A computer-aided voice strain test was administered to 28 patients with voice disorders and 12 controls.
  • Participants read a text for 15 minutes under varying sound pressure levels (70-75 dB(A)).
  • Acoustic voice analysis and self-assessment questionnaires were used before and after the test.

Impact:

  • The test indicated reduced vocal load capacity in participants.
  • All participants found the test strenuous, suggesting its effectiveness in simulating demanding conditions.
  • The test shows potential for identifying and documenting a lack of voice resilience through short-term, high-intensity vocal loading.