TY - JOUR
T1 - Development of novel hearing aids by using image recognition technology
AU - Lin, Bor Shing
AU - Liu, Ching Feng
AU - Cheng, Chih Jen
AU - Wang, Jhi Joung
AU - Liu, Chengyu
AU - Li, Jianqing
AU - Lin, Bor-Shyh
PY - 2018/5/15
Y1 - 2018/5/15
N2 - 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.
AB - 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.
KW - Hearing aids
KW - adaptive filter
KW - cross-correlation-coefficient
KW - image recognition technology
KW - time difference of arrival
UR - http://www.scopus.com/inward/record.url?scp=85047020886&partnerID=8YFLogxK
U2 - 10.1109/JBHI.2018.2836180
DO - 10.1109/JBHI.2018.2836180
M3 - Article
C2 - 29994776
AN - SCOPUS:85047020886
SN - 2168-2194
VL - 23
SP - 1163
EP - 1170
JO - IEEE Journal of Biomedical and Health Informatics
JF - IEEE Journal of Biomedical and Health Informatics
IS - 3
M1 - 8359403
ER -