10 citations · 26 across the 13 of their papers we have counts for
3 papers · 1 filter
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization
Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
In this work, we introduce EQ-Net: the first holistic framework that solves both the tasks of log-likelihood ratio (LLR) estimation and quantization using a data-driven method. We…
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…
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…