34 citations · 67 across the 17 of their papers we have counts for
22 papers
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition
Gautam Krishna, Mason Carnahan, Shilpa Shamapant +6
In this paper, we propose a deep learning-based algorithm to improve the performance of automatic speech recognition (ASR) systems for aphasia, apraxia, and dysarthria speech by ut…
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…
Continuous Speech Recognition using EEG and Video
Gautam Krishna, Mason Carnahan, Co Tran +1
In this paper we investigate whether electroencephalography (EEG) features can be used to improve the performance of continuous visual speech recognition systems. We implemented a…
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…
Voice Activity Detection in presence of background noise using EEG
Gautam Krishna, Co Tran, Mason Carnahan +2
In this paper we demonstrate that performance of voice activity detection (VAD) system operating in presence of background noise can be improved by concatenating acoustic input fea…
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…
Advancing Speech Recognition With No Speech Or With Noisy Speech
Gautam Krishna, Co Tran, Mason Carnahan +1
In this paper we demonstrate end-to-end continuous speech recognition (CSR) using electroencephalography (EEG) signals with no speech signal as input. An attention model based auto…
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…
Robust End-to-End Speaker Verification Using EEG
Yan Han, Gautam Krishna, Co Tran +2
In this paper we demonstrate that performance of a speaker verification system can be improved by concatenating electroencephalography (EEG) signal features with speech signal feat…
Speech Recognition with no speech or with noisy speech
Gautam Krishna, Co Tran, Jianguo Yu +1
The performance of automatic speech recognition systems(ASR) degrades in the presence of noisy speech. This paper demonstrates that using electroencephalography (EEG) can help auto…