most citedImproving EEG based Continuous Speech Recognition

10 citations · 10 across the 1 of their papers we have counts for

collaborators

8 papers

eess.AS2020

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…

eess.AS2020

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)…

eess.AS201910 cited

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…

cs.SD2019

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…

eess.AS2019

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…

eess.AS2019

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…