activity
20192021
most citedModeling of Individual HRTFs based on Spatial Principal Component Analysis

33 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2021

Direct source and early reflections localization using deep deconvolution network under reverberant environment

Shan Gao, Xihong Wu, Tianshu Qu

This paper proposes a deconvolution-based network (DCNN) model for DOA estimation of direct source and early reflections under reverberant scenarios. Considering that the first-ord…

eess.SP2021

Eye-gaze Estimation with HEOG and Neck EMG using Deep Neural Networks

Zhen Fu, Bo Wang, Fei Chen +2

Hearing-impaired listeners usually have troubles attending target talker in multi-talker scenes, even with hearing aids (HAs). The problem can be solved with eye-gaze steering HAs,…

eess.SP2021

Auditory Attention Decoding from EEG using Convolutional Recurrent Neural Network

Zhen Fu, Bo Wang, Xihong Wu +1

The auditory attention decoding (AAD) approach was proposed to determine the identity of the attended talker in a multi-talker scenario by analyzing electroencephalography (EEG) da…

eess.AS2020

Spectral-change enhancement with prior SNR for the hearing impaired

Xiang Li, Xin Tian, Henry Luo +4

A previous signal processing algorithm that aimed to enhance spectral changes (SCE) over time showed benefit for hearing-impaired (HI) listeners to recognize speech in background n…

eess.AS201933 cited

Modeling of Individual HRTFs based on Spatial Principal Component Analysis

Mengfan Zhang, Zhongshu Ge, Tiejun Liu +2

Head-related transfer function (HRTF) plays an important role in the construction of 3D auditory display. This paper presents an individual HRTF modeling method using deep neural n…