Development of novel hearing aids by using image recognition technology

Bor Shing Lin*, Ching Feng Liu, Chih Jen Cheng, Jhi Joung Wang, Chengyu Liu, Jianqing Li, Bor-Shyh Lin

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Speech is easily affected by different background noise in real environment to reduce the speech intelligibility, in particular, for hearing impaired listeners. In order to improve the above issue, several hearing aids have been developed to enhance the speech signal in noisy environment. Most of current hearing aids were designed to enhance the component of speech and suppress the component of noise. However, it is difficult to separate other speech sources. Adaptive signal enhancement with the beamforming technique might improve the above issue. However, how to distinguish the location of the desired speaker effectively is still a difficult challenge for adaptive beamforming method. A novel concept of hearing aid was proposed in this study. Different from the beamforming-based hearing aids, which use the cross-correlation-coefficient method to estimate time difference of arrival (TDOA), an image recognition technology was used to estimate the location of the desired speaker to obtain the more precise TDOA. An adaptive signal enhancement was also used to enhance the noisy speech sound. From the experimental results, the proposed system could provide a smaller absolute error of TDOA less than 1.25 × 10 -4 ms, and a clear speech sound from the target speaker who the user wants to listen to.

Original languageEnglish
Article number8359403
Pages (from-to)1163-1170
Number of pages8
JournalIEEE Journal of Biomedical and Health Informatics
Volume23
Issue number3
DOIs
StatePublished - 15 May 2018

Keywords

  • Hearing aids
  • adaptive filter
  • cross-correlation-coefficient
  • image recognition technology
  • time difference of arrival

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