Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Auditory Perception

Auditory Perception

The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...

Auditory Pathway

Auditory Pathway

Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...

You might also read

Related Articles

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

Sort by

Same author

Advantages of Fluctuating Noise for Measuring Speech Intelligibility in Listeners With Hearing Loss.

Trends in hearing·2026

Same author

Objective Comparison of Auditory Profiles Using Manifold Learning and Intrinsic Measures.

Trends in hearing·2026

Same author

Calibration offset estimation in mobile hearing tests via categorical loudness scaling.

International journal of audiology·2026

Same author

A cross-domain test battery for comprehensive hearing loss characterisation using functional, physiological, and vestibular measures.

International journal of audiology·2026

Same author

Audio quality predictions correlate with perception of processing delays across different simulated hearing device conditions.

JASA express letters·2026

Same author

Standard audiogram classification from loudness scaling data using unsupervised, supervised, and explainable machine learning techniques.

International journal of audiology·2026

Search research articles

Related Experiment Video

Updated: Sep 17, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

Integrating Audiological Datasets via Federated Merging of Auditory Profiles.

Samira Saak^1,2, Dirk Oetting^2,3, Birger Kollmeier^1,2,3

¹Medizinische Physik, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.

Trends in Hearing

|June 30, 2025

Summary

This study merges Auditory Profiles (APs) from multiple audiological datasets to create comprehensive patient profiles. Combining data enhances the understanding of hearing loss patterns and improves diagnostic accuracy.

Keywords:

audiology auditory profiles big data data mining machine learning

More Related Videos

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

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

Published on: August 9, 2024

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

Related Experiment Videos

Last Updated: Sep 17, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

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

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

Published on: August 9, 2024

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

Area of Science:

Audiology
Data Science
Machine Learning

Background:

Audiological datasets offer insights into hearing loss.
Previous work created Auditory Profiles (APs) from single datasets.
Analyzing multiple datasets is crucial for a comprehensive patient population estimate.

Purpose of the Study:

To extend the AP generation pipeline with a merging step.
To combine APs from different datasets based on audiological measure similarity.
To create a unified set of APs for improved hearing loss analysis.

Main Methods:

Merged 13 APs (N=595) with 31 APs (N=1,272) using a similarity score.
Utilized overlapping densities of common features for merging.
Developed random forest models with various audiological measure combinations.

Main Results:

Proposed a new set of 13 combined APs.
Achieved satisfactory classification performance across combined profiles.
Found that combining loudness scaling, audiogram, and speech tests yielded the best results.

Conclusions:

The enhanced pipeline successfully merges APs across datasets.
This approach can generalize to other datasets for a global profile set.
Classification models maintain clinical applicability and improve diagnostic insights.