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

Learning Disabilities01:25

Learning Disabilities

526
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
526
Larynx01:21

Larynx

3.9K
The human larynx, often referred to as the voice box, is an intricate organ located in the neck. It serves as a pathway for air to enter the lungs during respiration and is an essential component of voice production.
Anatomy of the Larynx
The larynx consists of various components, including cartilage, muscles, and vocal cords. Its structure includes three large unpaired cartilages—the thyroid, cricoid, and epiglottis—and three smaller paired cartilages—the arytenoids,...
3.9K
Improving Translational Accuracy02:07

Improving Translational Accuracy

13.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
13.9K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.5K
3.5K
Air-entraining Agents01:27

Air-entraining Agents

216
Air-entraining agents improve the durability and workability of concrete in climates with frequent freezing and thawing. These agents prevent cracks by introducing small air bubbles into the mix, creating spaces accommodating water expansion when temperatures drop. The air-entraining agents lower the surface tension of water, forming stable, small air bubbles. This method is more effective than having accidental large voids, as the intentional, smaller, and evenly distributed air voids improve...
216

You might also read

Related Articles

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

Sort by
Same author

Speaker-dependent laser Doppler vibrometer-based voice conversion for dysarthric speech under noisy conditions.

JASA express letters·2026
Same author

Multistream Deep Learning Models Using Multimodal Optical Coherence Tomography for Predicting Visual Impairment in Epiretinal Membrane.

American journal of ophthalmology·2026
Same author

Improving OSA diagnosis: An AI-powered approach for analyzing DISE videos to assess obstruction site and severity.

Journal of the Formosan Medical Association = Taiwan yi zhi·2026
Same author

Optimized Active Noise Cancellation for Hearing Tests Using Auditory Masking Characteristics.

IEEE journal of translational engineering in health and medicine·2026
Same author

EEG-based Syllable-Level Voice Activity Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Deep Learning-Driven Non-Contact Sound Source Localization via Multi-Axis Analysis with Laser Doppler Vibrometry.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

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

826

A joint-feature learning-based voice conversion system for dysarthric user based on deep learning technology.

Ko-Chiang Chen, Hsiu-Wei Yeh, Ji-Yan Hang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a joint feature learning approach for voice conversion (VC) to enhance speech for individuals with dysarthria. The new system significantly improves speech intelligibility, offering potential as assistive technology.

    More Related Videos

    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
    05:48

    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

    Published on: August 9, 2024

    1.9K
    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
    06:22

    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

    Published on: September 19, 2025

    372

    Related Experiment Videos

    Last Updated: Dec 30, 2025

    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

    826
    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
    05:48

    Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

    Published on: August 9, 2024

    1.9K
    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
    06:22

    Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

    Published on: September 19, 2025

    372

    Area of Science:

    • Speech processing
    • Artificial intelligence
    • Assistive technology

    Background:

    • Dysarthria significantly impairs communication abilities.
    • Voice conversion (VC) technology offers a promising avenue for speech enhancement.
    • Existing VC systems may not fully address the specific needs of dysarthric speakers.

    Purpose of the Study:

    • To develop and evaluate a novel joint feature learning approach for a sub-band deep neural network-based VC system (J_SBDNN).
    • To improve speech intelligibility for individuals with dysarthria using the proposed J_SBDNN VC system.
    • To compare the performance of J_SBDNN against established VC methods.

    Main Methods:

    • Implementation of a joint feature learning strategy within a sub-band deep neural network architecture.
    • Utilizing a listening test focused on speech intelligibility assessment.
    • Comparative analysis against several well-known voice conversion techniques.

    Main Results:

    • The J_SBDNN VC system demonstrated superior speech intelligibility compared to other tested VC approaches under most conditions.
    • Objective and subjective evaluations confirmed the effectiveness of the proposed joint feature learning method.
    • The system showed significant improvements in making dysarthric speech more understandable.

    Conclusions:

    • The J_SBDNN voice conversion system effectively enhances speech intelligibility for dysarthric speakers.
    • This technology holds potential as a valuable electronic assistive device.
    • Further development could integrate J_SBDNN into practical communication aids for improved quality of life.