A Novel Unsupervised Spectral Clustering for Pure-Tone Audiograms towards Hearing Aid Filter Bank Design and Initial Configurations

A Novel Unsupervised Spectral Clustering for Pure-Tone Audiograms towards Hearing Aid Filter Bank Design and Initial Configurations

The current practice of adjusting hearing aids (HA) is tiring and time-consuming for both patients and audiologists. Of hearing-impaired people, 40–50% are not satisfied with their HAs. In addition, good designs of HAs are often avoided since the process of fitting them is exhausting. To improve the...

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Bibliographic Details
Main Authors: Abeer Elkhouly, Allan Melvin Andrew, Hasliza A Rahim, Nidhal Abdulaziz, Mohamedfareq Abdulmalek, Mohd Najib Mohd Yasin, Muzammil Jusoh, Thennarasan Sabapathy, Shafiquzzaman Siddique
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
machine learning
spectral clustering
unsupervised clustering
audiogram classifier
silhouette coefficient
bioelectromagnetics
Online Access:https://www.mdpi.com/2076-3417/12/1/298

Internet

https://www.mdpi.com/2076-3417/12/1/298

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