Re: [AUDITORY] Seeking Advice on Auditory Models for Hearing Loss

Subject: Re: [AUDITORY] Seeking Advice on Auditory Models for Hearing Loss

From: "Picinali, Lorenzo" <l.picinali@xxxxxxxxxxxxxx>

Date: Fri, 13 Dec 2024 10:51:50 +0000

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Comments: To: Sathish Kumar <sathish.sreeni58@xxxxxxxxx>

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Reply-to: "Picinali, Lorenzo" <l.picinali@xxxxxxxxxxxxxx>

Sender: AUDITORY - Research in Auditory Perception <AUDITORY@xxxxxxxxxxxxxxx>

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Thread-topic: [AUDITORY] Seeking Advice on Auditory Models for Hearing Loss

Dear Sathish,

one way to do that could be to use the hearing aid and hearing loss simulation on our (Imperial and University of Malaga) 3D Tune-In Toolkit, then use the Dietz model (or more recent ones from Barumerli and/or Baumgartner, all included in the Auditory Modelling Toolbox).

Here is a video demonstrating the hearing loss/hearing aid simulators on our test application:

https://www.youtube.com/watch?v=jtEL__hwmq0

If you are using any of those AMT models (Dietz, Baumgartner or Barumerli) you can of course also use the binaural spatialisation features of the Toolkit - you can employ BTE hearing aids HRTFs (there are a few around) in Sofa format, and adjust the ITD to the specific head circumference of each subject. Then you can adjust the various elements of the hearing loss simulator (gammatone-based non-linear attenuator and frequency smearing - we have two models for these, one of which is the Baer&Moore model), and either automatically fit the hearing aid model, or do it manually to match the way it was fitted in the behavioural test.

The Test Application (the one you see in the video above) is of course free, and available for MacOS, Windows and Linux at the following link:

https://github.com/3DTune-In/3dti_AudioToolkit/releases/latest

At the link above, you can also download the VST plugin, both for MacOS and Windows, as well as the Unity wrapper, in case you need them.

Just...the main issue I could see with using our simulator with the AMT models is that both hearing aid and loss simulators are non-linear and non-time-invariant, therefore if you want to support findings of a specific behavioural study you'll need to be especially careful when calibrating the signal level in the digital domain but...it should be doable!

best
L

--
Lorenzo Picinali
Professor in Spatial Acoustics and Immersive Audio
Dyson School of Design Engineering
Imperial College London
Dyson Building
Imperial College Road
South Kensington, SW7 2DB, London
E: l.picinali@xxxxxxxxxxxxxx

https://profiles.imperial.ac.uk/l.picinali
https://www.axdesign.co.uk/

https://www.sonicom.eu/

From: AUDITORY - Research in Auditory Perception <AUDITORY@xxxxxxxxxxxxxxx> on behalf of Sathish Kumar <sathish.sreeni58@xxxxxxxxx>
Sent: 13 December 2024 07:06
To: AUDITORY@xxxxxxxxxxxxxxx <AUDITORY@xxxxxxxxxxxxxxx>
Subject: [AUDITORY] Seeking Advice on Auditory Models for Hearing Loss

Dear members of the auditory list,

I've recently been working on behavioral auditory source localization performance in hearing aid users. To support my behavioral findings, I am exploring computational auditory models for various configurations of hearing loss.

Through the review of the literature, I found that the direction-of-arrival models proposed by Dietz et al. (2011) and Kayser et al. (2015) are suitable for my experiment where the interpretation based on pre-estimated IPD-to-azimuth mappings with respect to Interaural Coherence and probability distributions. However, both of these models do not account for hearing loss characteristics.

I would greatly appreciate suggestions for other auditory models that might be suitable for my purpose. Additionally, I am wondering whether I can replace the cochlear and basilar membrane processing steps in Dietz et al. (2011) with the hearing loss models. If anyone has experience with this approach, I would be grateful for your advice.

Thank you in advance for your suggestions!!

Best regards,

Sathish Kumar

PhD Research Scholar

Department of Audiology and SLP

Kasturba Medical College (MAHE), Mangalore

Mob: 9789447666 || E-mail: sathish.sreeni58@xxxxxxxxx