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

A noninvasive technique for detecting hypernasal speech using a nonlinear operator

D A Cairns1, J H Hansen, J E Riski

  • 1Department of Electrical Engineering, Duke University, Durham, NC 27708-0291 USA.

IEEE Transactions on Bio-Medical Engineering
|January 1, 1996
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

Frontoparietal network topology as a neural marker of musical perceptual abilities.

Nature communications·2024
Same author

FOxTROT2: innovative trial design to evaluate the role of neoadjuvant chemotherapy for treating locally advanced colon cancer in older adults or those with frailty.

ESMO open·2022
Same author

Prediction of outcome in newly diagnosed myeloma: a meta-analysis of the molecular profiles of 1905 trial patients.

Leukemia·2017
Same author

Second malignancies in the context of lenalidomide treatment: an analysis of 2732 myeloma patients enrolled to the Myeloma XI trial.

Blood cancer journal·2016
Same author

Ventricular function and ventriculo-arterial coupling after palliation of hypoplastic left heart syndrome: A comparative study with Fontan patients with LV morphology.

International journal of cardiology·2016
Same author

Weight Lifting as a Cause of Bilateral Upper Extremity Compartment Syndrome.

The Physician and sportsmedicine·2016
Same journal

Fast Prospective Motion Correction for MRI Based on Electromagnetic Induction Coils with Low Footprint and In-place Calibration.

IEEE transactions on bio-medical engineering·2026
Same journal

Digital Twin Modeling of MR Gradient Coils for Accurate Gradient Safety Evaluation of Implantable Medical Devices.

IEEE transactions on bio-medical engineering·2026
Same journal

A Method for Improving Human Joint Moment Estimation during Lower Limb Rehabilitation Training Based on sEMG Signals.

IEEE transactions on bio-medical engineering·2026
Same journal

Assessment of skin stiffness in systemic sclerosis using optical coherence elastography: A comparative study with histology and clinical parameters.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Dyadic Interdependence in Endocrine Functioning: A Multilevel Machine Learning Study of Adults with Cancer and Their Caregivers.

IEEE transactions on bio-medical engineering·2026
Same journal

A Kalman Filter-Based Framework for Granger Causality Assessment: Application in Tracking Maternal-Fetal Heart Rate Coupling.

IEEE transactions on bio-medical engineering·2026
See all related articles

A new noninvasive technique reliably detects hypernasal speech, a sign of velopharyngeal dysfunction. This method uses the Teager Energy operator to differentiate between normal and nasalized speech patterns, improving patient comfort.

Area of Science:

  • Speech-language pathology
  • Acoustic analysis
  • Biomedical engineering

Background:

  • Hypernasal speech results from velopharyngeal mechanism defects, indicating potential anatomical or neurological issues.
  • Current diagnostic methods for hypernasality are often invasive or intrusive.
  • A noninvasive approach is preferred for patient comfort and natural speech production.

Purpose of the Study:

  • To propose and evaluate a noninvasive technique for detecting hypernasality using the Teager Energy operator.
  • To develop a classification algorithm for identifying hypernasal speech based on acoustic features.

Main Methods:

  • The study employed the Teager Energy operator and a speech model to analyze normal and nasalized speech.
  • A significant difference in Teager Energy profiles between lowpass and bandpass filtered nasalized speech was identified.

Related Experiment Videos

  • A classification algorithm was developed based on this difference in Teager Energy profiles.

    • Main Results:

    • The proposed technique demonstrated a significant difference in Teager Energy profiles for nasalized speech, which was absent in normal speech.
    • The classification algorithm reliably detected the presence of hypernasality in front (/i/) and mid (/A/) vowels.
    • The method proved effective in a population of native English speakers.

    Conclusions:

    • The Teager Energy operator-based classification algorithm offers a reliable, noninvasive method for detecting hypernasal speech.
    • This technique has the potential to improve the diagnosis of velopharyngeal dysfunction.
    • The findings support the clinical utility of acoustic analysis for speech disorder assessment.