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VALIDATION OF ACOUSTIC MODELS OF AUDITORY NEURAL PROSTHESES.

Mario A Svirsky¹, Nai Ding¹, Elad Sagi¹

¹Department of Otolaryngology, NYU School of Medicine, New York, USA.

Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)

|December 2, 2014

Summary

This summary is machine-generated.

Acoustic models simulate cochlear implant (CI) percepts but lack validation. This study introduces a tool for direct perceptual comparison, validating CI simulations using bimodal subjects.

Keywords:

Acoustic models Cochlear implants Sensory aids Single sided deafness Speech processing

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Area of Science:

Auditory Neuroscience
Biomedical Engineering
Speech Processing

Background:

Acoustic models simulate auditory neural prosthesis percepts.
Current models process signals like cochlear implant (CI) speech processors.
Electrical stimulation percepts are simulated via amplitude modulation of noise bands or sinusoids.

Purpose of the Study:

To present a novel tool for validating acoustic models used in auditory research.
To enable direct perceptual comparison between acoustic model simulations and real CI stimulation.
To address the longstanding lack of convincing validation for acoustic models.

Main Methods:

Utilized subjects with a cochlear implant (CI) in one ear and normal hearing in the contralateral ear.
Developed a validation tool for direct perceptual comparison.
Compared simulated percepts from acoustic models with actual CI stimulation.

Main Results:

The study presents a tool enabling direct perceptual validation of acoustic models.
This methodology allows for the first time a direct comparison of acoustic model output to CI stimulation.
The research facilitates rigorous assessment of CI simulation accuracy.

Conclusions:

The developed tool offers a robust method for validating acoustic models.
This validation is crucial for advancing the accuracy of CI simulations.
The study paves the way for improved understanding and development of auditory prostheses.