While large language models excel in a variety of natural language proce...
Automotive radar has increasingly attracted attention due to growing int...
Accurate prediction of the user intent to interact with a voice assistan...
Before the recent success of deep learning methods for automated medical...
Voice trigger detection is an important task, which enables activating a...
We address the problem of detecting speech directed to a device that doe...
Robust and accurate sensing is of critical importance for advancing
auto...
Building a highly accurate predictive model for these tasks usually requ...
In an autonomous driving scenario, it is vital to acquire and efficientl...
In this paper we introduce a recurrent neural network (RNN) based variat...
In this paper we demonstrate that it is possible to generate more meanin...
The electroencephalography (EEG) signals recorded in parallel with speec...
In [1,2] authors provided preliminary results for synthesizing speech fr...
In this paper we explore predicting facial or lip video features from
el...
In this paper we introduce attention-regression model to demonstrate
pre...
In this paper we explore speaker identification using electroencephalogr...
We introduce an adversarial sample detection algorithm based on image
re...
In this paper we explore continuous silent speech recognition using
elec...
In this paper we explore mind reading or continuous silent speech recogn...