3 citations · 6 across the 6 of their papers we have counts for
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eess.AS2021★ 3 cited
Deep Learning-based Non-Intrusive Multi-Objective Speech Assessment Model with Cross-Domain Features
Ryandhimas E. Zezario, Szu-Wei Fu, Fei Chen +3
In this study, we propose a cross-domain multi-objective speech assessment model called MOSA-Net, which can estimate multiple speech assessment metrics simultaneously. Experimental…
eess.AS2021
The effect of speech and noise levels on the quality perceived by cochlear implant and normal hearing listeners
Sara Akbarzadeh, Sungmin Lee, Fei Chen +1
Electrical hearing by cochlear implants (CIs) may be fundamentally different from acoustic hearing by normal-hearing (NH) listeners, presumably showing unequal speech quality perce…
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,…