Automated Loudness Growth Prediction From EEG Signals Using Autoencoder and Multi-Target Regression

Automated Loudness Growth Prediction From EEG Signals Using Autoencoder and Multi-Target Regression

Accurately assessing loudness perception is crucial for optimizing hearing aid fittings, especially for individuals who are unable to perform subjective tests. This study presents an automated method for estimating frequency-specific loudness growth curves using tone-burst auditory brainstem respons...

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Bibliographic Details
Main Authors: D. Rama Harshita, Nitya Tiwari, Himanshu Padole, K. S. Nataraj
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Auditory brainstem response
convolutional autoencoder
convolutional neural networks
loudness growth prediction
multi-target regression
Online Access:https://ieeexplore.ieee.org/document/11039785/
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https://ieeexplore.ieee.org/document/11039785/

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