Improving the performance of noise reduction in hearing aids based on the genetic algorithm

Ying Hui Lai, Chien Hsun Chen, Shih Tsang Tang, Zong-Mu Yeh, Yu Tsao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The noise reduction (NR) approach is a critical component for enabling hearing aid (HA) users to attain improved speech perception capabilities and to reduce the listening effort under noisy conditions. More specifically, the NR can improve the output signal-to-noise ratio (SNR) level to enhance the speech intelligibility and sound quality for individuals with hearing loss. Recently, a discriminative post-filter (DPF) approach has been developed and the preliminary results indicate that the DPF can further improve the output SNR performance. It is important to specify suitable parameters for the DPF; however, it remains unknown how to set these parameters properly. Therefore, this study mainly focuses on the genetic algorithm (GA) to investigate these parameters of the DPF to further enhance the output SNR performance for HA users. The results of the objective evaluations show that under noisy conditions, the parameters of the DPF investigated by the GA algorithm can maintain the sound quality and yield higher SNR performance as compared to the NR approach used solely. More specifically, the proposed method can enhance the output SNR over the NR approach applied singly by 5.31 dB and 4.05 dB at SNR conditions of 0 dB and 5 dB, respectively. It implies that the proposed approach can help HA users to reduce the listening effort and to hear well even in noisy conditions.

Original languageEnglish
Title of host publicationXIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
EditorsEfthyvoulos Kyriacou, Stelios Christofides, Constantinos S. Pattichis
PublisherSpringer Verlag
Pages209-214
Number of pages6
Volume57
ISBN (Print)9783319327013
DOIs
Publication statusPublished - 2016 Jan 1
Event14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 - Paphos, Cyprus
Duration: 2016 Mar 312016 Apr 2

Other

Other14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
CountryCyprus
CityPaphos
Period16/3/3116/4/2

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Keywords

  • Discriminative post filter
  • Generalized maximum a posteriori spectral amplitude
  • Genetic algorithm
  • Hearing aids
  • Noise reduction

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

Cite this

Lai, Y. H., Chen, C. H., Tang, S. T., Yeh, Z-M., & Tsao, Y. (2016). Improving the performance of noise reduction in hearing aids based on the genetic algorithm. In E. Kyriacou, S. Christofides, & C. S. Pattichis (Eds.), XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 (Vol. 57, pp. 209-214). Springer Verlag. https://doi.org/10.1007/978-3-319-32703-7_43