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

Design Example: Vintage Mixing Console01:17

Design Example: Vintage Mixing Console

282
A sound engineer at a music company recently encountered a problem. The output from their newly acquired studio's vintage mixing console was too low for the requirements of modern recording equipment. To rectify this situation, the engineer decided to design an audio pre-amplifier using an operational amplifier (op-amp) to boost the signal level.
The specifications for the pre-amplifier were clear. It needed to amplify the audio signal by a factor of 10, have an input impedance above 10...
282

You might also read

Related Articles

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

Sort by
Same author

A Two-Stage Classification Method for Improved Fault Detection in Wind Turbines Based on SCADA Data.

Sensors (Basel, Switzerland)·2026
Same author

Obtaining Rotational Stiffness of Wind Turbine Foundation from Acceleration and Wind Speed SCADA Data.

Sensors (Basel, Switzerland)·2025
Same author

An Ensemble Network for High-Accuracy and Long-Term Forecasting of Icing on Wind Turbines.

Sensors (Basel, Switzerland)·2025
Same author

Audiometric Profiles Across a Clinical Population of Children With Hyperacusis.

American journal of audiology·2024
Same author

A Review of Machine Learning Approaches for the Personalization of Amplification in Hearing Aids.

Sensors (Basel, Switzerland)·2024
Same author

Improving Recognition of Defective Epoxy Images in Integrated Circuit Manufacturing by Data Augmentation.

Sensors (Basel, Switzerland)·2024

Related Experiment Video

Updated: Aug 30, 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

466

Personalization of Hearing Aid Fitting Based on Adaptive Dynamic Range Optimization.

Aoxin Ni1, Sara Akbarzadeh1, Edward Lobarinas2

  • 1Department of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX 75080-3021, USA.

Sensors (Basel, Switzerland)
|August 26, 2022
PubMed
Summary
This summary is machine-generated.

Personalized adaptive dynamic range optimization (ADRO) significantly improved hearing aid user preference by 10 times compared to standard ADRO. This machine learning approach enhances the hearing experience without negatively impacting speech understanding.

Keywords:
adaptive dynamic range optimizationmaximum likelihood inverse reinforcement learningpersonalization of hearing aid fitting

More Related Videos

A Method to Study Adaptation to Left-Right Reversed Audition
07:14

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

6.6K
Author Spotlight: Optimizing EAS with Long Electrodes for Enhanced Cochlear Coverage and Hearing Preservation
03:49

Author Spotlight: Optimizing EAS with Long Electrodes for Enhanced Cochlear Coverage and Hearing Preservation

Published on: October 11, 2024

902

Related Experiment Videos

Last Updated: Aug 30, 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

466
A Method to Study Adaptation to Left-Right Reversed Audition
07:14

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

6.6K
Author Spotlight: Optimizing EAS with Long Electrodes for Enhanced Cochlear Coverage and Hearing Preservation
03:49

Author Spotlight: Optimizing EAS with Long Electrodes for Enhanced Cochlear Coverage and Hearing Preservation

Published on: October 11, 2024

902

Area of Science:

  • Audiology
  • Machine Learning
  • Signal Processing

Background:

  • Adaptive Dynamic Range Optimization (ADRO) is a hearing aid fitting method adjusting frequency band gains based on sound level percentiles and user hearing thresholds.
  • Standard ADRO aims to balance audibility and comfort for individuals with hearing loss.

Purpose of the Study:

  • To personalize the ADRO fitting using a machine learning approach to enhance the hearing experience.
  • To compare the efficacy of personalized ADRO against standard ADRO in hearing aid users.

Main Methods:

  • A machine learning method, specifically maximum likelihood inverse reinforcement learning, was employed to create a user preference model for ADRO personalization.
  • Ten subjects with hearing loss participated in the study, evaluating both standard and personalized ADRO fittings.

Main Results:

  • Subjects preferred the personalized ADRO fitting over the standard ADRO by an average factor of approximately 10.
  • Word recognition tests demonstrated that personalized ADRO did not adversely affect speech understanding compared to standard ADRO.

Conclusions:

  • Personalized ADRO, utilizing machine learning, offers a significantly improved user experience for hearing aid fittings.
  • The personalized approach enhances hearing aid effectiveness without compromising speech comprehension, indicating a promising advancement in audiology.