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 Experiment Videos

Software corrections of vocal disorders.

Lorenzo Matassini1, Claudia Manfredi

  • 1Max-Planck-Institut für Physik komplexer Systeme, Nöthnitzer Strasse 38, D 01187 Dresden, Germany. lorenzo@mpipks-dresden.mpg.de

Computer Methods and Programs in Biomedicine
|April 5, 2002
PubMed
Summary
This summary is machine-generated.

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

Do Rare Genetic Conditions Exhibit a Specific Phonotype? A Comprehensive Description of the Vocal Traits Associated with Crisponi/Cold-Induced Sweating Syndrome Type 1.

Genes·2025
Same author

From phenotype to phonotype: a comprehensive description of voice features of Cri du chat syndrome.

European journal of pediatrics·2024
Same author

Artificial Intelligence Procedure for the Screening of Genetic Syndromes Based on Voice Characteristics.

Bioengineering (Basel, Switzerland)·2023
Same author

Machine Learning Assessment of Spasmodic Dysphonia Based on Acoustical and Perceptual Parameters.

Bioengineering (Basel, Switzerland)·2023
Same author

Aggregate Channel Features for newborn face detection in Neonatal Intensive Care Units.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2022
Same author

Analysis of Brain-Heart Interactions in newborns with and without seizures using the Convergent Cross Mapping approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2022

This study introduces a nonlinear noise reduction method to correct vocal disorders. This technique aids physicians in surgical planning and researchers in developing voice-improving devices for patients with conditions like glottis cancer.

Area of Science:

  • Biomedical Engineering
  • Speech Science
  • Signal Processing

Background:

  • Vocal disorders significantly impact patients' quality of life.
  • Understanding voice dysfunctions is crucial for medical and technological advancements.
  • Current interventions for vocal disorders have limitations.

Purpose of the Study:

  • To develop a post-correction method for vocal disorders using nonlinear noise reduction.
  • To enhance understanding of voice dysfunctions for improved patient outcomes.
  • To facilitate better surgical planning and the development of voice-improving technologies.

Main Methods:

  • Signal classification using geometric signal separation in a feature space.
  • Analysis of feature space regions distinguishing healthy individuals from patients with T1A glottis cancer.

Related Experiment Videos

  • Development and performance evaluation of a nonlinear noise reduction filter.

    • Main Results:

    • Successful classification of vocal signals based on geometric separation.
    • Identification of distinct feature space regions for healthy and diseased vocal samples.
    • Demonstration of the nonlinear noise reduction filter's effectiveness in correcting vocal disorders.

    Conclusions:

    • Nonlinear noise reduction offers a viable approach for post-correcting vocal disorders.
    • The developed method aids in understanding disease-specific vocal characteristics.
    • This research paves the way for improved diagnostics, surgical interventions, and assistive voice technologies.