MATEC Web Conf.
Volume 246, 20182018 International Symposium on Water System Operations (ISWSO 2018)
|Number of page(s)||5|
|Section||Parallel Session II: Water System Technology|
|Published online||07 December 2018|
Hearing aid classification method based on improved AP algorithm
1 EDP Sciences, north china electric power university, school of Electrical and Electronic Engineering, China
2 EDP Sciences, national institute of metrology, Acoustics group, China
a Corresponding author: firstname.lastname@example.org.
Based on the large medical data to evaluate the performance of the hearing aid is a promising way. Achieving the classification of the hearing aid is the foundation. In this paper an improved semisupervised AP clustering algorithm based on density path is proposed. The PESQ score is taken as the substitution of subjective score for the speech segments, which is also taken as a semi-supervised basis to improve classification accuracy. The Euclidean distance similarity is improved based on the density path, making it suitable for complex shape data sets. Through experimental verification, compared with the traditional AP algorithm, the improved algorithm shows obvious advantages in terms of hearing aid classification accuracy and recognition performance.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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