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Re: [AUDITORY] [EXT] Hearing Loss simulator for processing audio files



We have a web app that may be helpful to you:
The “Hearing-Loss Visualizer” is a Matlab-based web app that is running on a cloud server here: https://urhear.urmc.rochester.edu/webapps/home/  hosted on a server at the University of Rochester.
    The app allows you to select a standard audiogram from Bisgaard et al, or to enter a specific audiogram. It displays population response of model IHCs, AN fibers, and IC neurons.
(Note: This app was discussed at the recent ARO Panel Discussion, but the website was unfortunately down at the time – the ‘certificate’ has now been repaired!)

    I hope it’s helpful – the goal of this app was to make computational models for the periphery and midbrain accessible for members of the Speech & Hearing Research/Education community who are not (yet!) programmers.  The audio input files (which are selected using the drop-down box on the upper left) are audiologically interesting contrasts – the files were kindly provided by Matt Winn.
     -Laurel

Laurel H. Carney, PhD

Marylou Ingram Professor of Biomedical Engineering

Professor, Biomedical Engineering, Neuroscience, Electrical & Computer Engineering

University of Rochester

URMC Rm 5-6418

Tel: 585-276-3948

Laurel_Carney@xxxxxxxxxxxxxxxxxx

https://www.urmc.rochester.edu/labs/carney.aspx
Cloud-based auditory models: https://urhear.urmc.rochester.edu
Open Science Framework: Computational Models: https://osf.io/6bsnt/

 

From: AUDITORY - Research in Auditory Perception <AUDITORY@xxxxxxxxxxxxxxx> On Behalf Of Pragati Rao
Sent: Friday, March 7, 2025 5:27 PM
To: AUDITORY@xxxxxxxxxxxxxxx
Subject: [EXT] Hearing Loss simulator for processing audio files

 

Dear Colleagues, 

 

I am looking for a hearing loss simulator that can simulate the impact of IHC and OHC loss when a given audiogram is fed and then process audio files with that information. This is so that a more nuanced impact of various degrees of hearing loss/shapes of audiogram on specific audio files can be shown instead of using band-pass filtering. If you know of any such tools or can recommend any articles/labs which have developed these, please let me know.

 

Thanks,

Pragati