34 citations · 67 across the 17 of their papers we have counts for
12 papers · 1 filter
Speech Recognition using EEG signals recorded using dry electrodes
Gautam Krishna, Co Tran, Mason Carnahan +2
In this paper, we demonstrate speech recognition using electroencephalography (EEG) signals obtained using dry electrodes on a limited English vocabulary consisting of three vowels…
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems
Gautam Krishna, Co Tran, Mason Carnahan +1
In this paper we introduce a recurrent neural network (RNN) based variational autoencoder (VAE) model with a new constrained loss function that can generate more meaningful electro…
Predicting Different Acoustic Features from EEG and towards direct synthesis of Audio Waveform from EEG
Gautam Krishna, Co Tran, Mason Carnahan +1
In [1,2] authors provided preliminary results for synthesizing speech from electroencephalography (EEG) features where they first predict acoustic features from EEG features and th…
Understanding effect of speech perception in EEG based speech recognition systems
Gautam Krishna, Co Tran, Mason Carnahan +1
The electroencephalography (EEG) signals recorded in parallel with speech are used to perform isolated and continuous speech recognition. During speaking process, one also hears hi…
Improving EEG based continuous speech recognition using GAN
Gautam Krishna, Co Tran, Mason Carnahan +1
In this paper we demonstrate that it is possible to generate more meaningful electroencephalography (EEG) features from raw EEG features using generative adversarial networks (GAN)…
Predicting Video features from EEG and Vice versa
Gautam Krishna, Co Tran, Mason Carnahan +1
In this paper we explore predicting facial or lip video features from electroencephalography (EEG) features and predicting EEG features from recorded facial or lip video frames usi…
Advancing Speech Synthesis using EEG
Gautam Krishna, Co Tran, Mason Carnahan +1
In this paper we introduce attention-regression model to demonstrate predicting acoustic features from electroencephalography (EEG) features recorded in parallel with spoken senten…
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…
Speaker Identification using EEG
Gautam Krishna, Co Tran, Mason Carnahan +1
In this paper we explore speaker identification using electroencephalography (EEG) signals. The performance of speaker identification systems degrades in presence of background noi…
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)…
Continuous Silent Speech Recognition using EEG
Gautam Krishna, Co Tran, Mason Carnahan +1
In this paper we explore continuous silent speech recognition using electroencephalography (EEG) signals. We implemented a connectionist temporal classification (CTC) automatic spe…
EEG based Continuous Speech Recognition using Transformers
Gautam Krishna, Co Tran, Mason Carnahan +1
In this paper we investigate continuous speech recognition using electroencephalography (EEG) features using recently introduced end-to-end transformer based automatic speech recog…