26 citations · 34 across the 5 of their papers we have counts for
5 papers
Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings
Pengfei Sun, Gopala K. Anumanchipalli, Edward F. Chang
Decoding language representations directly from the brain can enable new Brain-Computer Interfaces (BCI) for high bandwidth human-human and human-machine communication. Clinically,…
Investigations of Auditory Filters Based Excitation Patterns for Assessment of Noise Induced Hearing Loss
Wisam Subhi Al-Dayyeni, Pengfei Sun, Jun Qin
Noise induced hearing loss (NIHL) as one of major avoidable occupational related health issues has been studied for decades. To assess NIHL, the excitation pattern (EP) has been co…
Neural networks based EEG-Speech Models
Pengfei Sun, Jun Qin
In this paper, we propose an end-to-end neural network (NN) based EEG-speech (NES) modeling framework, in which three network structures are developed to map imagined EEG signals t…
Enhanced Factored Three-Way Restricted Boltzmann Machines for Speech Detection
Pengfei Sun, Jun Qin
In this letter, we propose enhanced factored three way restricted Boltzmann machines (EFTW-RBMs) for speech detection. The proposed model incorporates conditional feature learning…
Semi-supervised Speech Enhancement in Envelop and Details Subspaces
Pengfei Sun, Jun Qin
In this study, we propose a modulation decoupling based single channel speech enhancement subspace framework, in which the spectrogram of noisy speech is decoupled as the product o…