EEG-based auditory attention decoding with audiovisual speech for hearing-impaired listeners

Author:

Wang Bo1,Xu Xiran1ORCID,Niu Yadong1,Wu Chao2,Wu Xihong13,Chen Jing13

Affiliation:

1. Speech and Hearing Research Center, Key Laboratory of Machine Perception (Ministry of Education), School of Intelligence Science and Technology, Peking University , Beijing 100871 , China

2. School of Nursing, Peking University , Beijing 100191 , China

3. National Biomedical Imaging Center, College of Future Technology , Beijing 100871 , China

Abstract

Abstract Auditory attention decoding (AAD) was used to determine the attended speaker during an auditory selective attention task. However, the auditory factors modulating AAD remained unclear for hearing-impaired (HI) listeners. In this study, scalp electroencephalogram (EEG) was recorded with an auditory selective attention paradigm, in which HI listeners were instructed to attend one of the two simultaneous speech streams with or without congruent visual input (articulation movements), and at a high or low target-to-masker ratio (TMR). Meanwhile, behavioral hearing tests (i.e. audiogram, speech reception threshold, temporal modulation transfer function) were used to assess listeners’ individual auditory abilities. The results showed that both visual input and increasing TMR could significantly enhance the cortical tracking of the attended speech and AAD accuracy. Further analysis revealed that the audiovisual (AV) gain in attended speech cortical tracking was significantly correlated with listeners’ auditory amplitude modulation (AM) sensitivity, and the TMR gain in attended speech cortical tracking was significantly correlated with listeners’ hearing thresholds. Temporal response function analysis revealed that subjects with higher AM sensitivity demonstrated more AV gain over the right occipitotemporal and bilateral frontocentral scalp electrodes.

Funder

Swiss Tumor Institute

National Natural Science Foundation of China

SONOVA

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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