10 citations · 10 across the 1 of their papers we have counts for
7 papers · 1 filter
Generating EEG features from Acoustic features
Gautam Krishna, Co Tran, Mason Carnahan +2
In this paper we demonstrate predicting electroencephalograpgy (EEG) features from acoustic features using recurrent neural network (RNN) based regression model and generative adve…
Speech Synthesis using EEG
Gautam Krishna, Co Tran, Yan Han +1
In this paper we demonstrate speech synthesis using different electroencephalography (EEG) feature sets recently introduced in [1]. We make use of a recurrent neural network (RNN)…
Improving EEG based Continuous Speech Recognition
Gautam Krishna, Co Tran, Mason Carnahan +2
In this paper we introduce various techniques to improve the performance of electroencephalography (EEG) features based continuous speech recognition (CSR) systems. A connectionist…
Spoken Speech Enhancement using EEG
Gautam Krishna, Co Tran, Yan Han +2
In this paper we demonstrate spoken speech enhancement using electroencephalography (EEG) signals using a generative adversarial network (GAN) based model, gated recurrent unit (GR…
State-of-the-art Speech Recognition using EEG and Towards Decoding of Speech Spectrum From EEG
Gautam Krishna, Yan Han, Co Tran +2
In this paper we first demonstrate continuous noisy speech recognition using electroencephalography (EEG) signals on English vocabulary using different types of state of the art en…
Speech Recognition With No Speech Or With Noisy Speech Beyond English
Gautam Krishna, Co Tran, Yan Han +2
In this paper we demonstrate continuous noisy speech recognition using connectionist temporal classification (CTC) model on limited Chinese vocabulary using electroencephalography…