34 citations · 48 across the 6 of their papers we have counts for
9 papers
Beyond Artifacts: Towards Generalizable Synthetic Song Detection via Music-Intrinsic Features
Yan Han, Zhibin Wen, Yuan Wang +4
The rapid advancement of AI music generators highlights the urgent need for reliable Synthetic Song Detection (SSD). Existing SSD methods often rely on low-level artifacts or fixed…
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…
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…