Existing deepfake speech detection systems lack generalizability to unse...
Unsupervised speech models are becoming ubiquitous in the speech and mac...
With advances seen in deep learning, voice-based applications are burgeo...
Self-supervised speech pre-training enables deep neural network models t...
Self-supervised speech representation learning aims to extract meaningfu...
We present a novel longitudinal multimodal corpus of physiological and
b...
In many applications of machine learning, the training and test set data...
Assessment of mental workload in real world conditions is key to ensure ...
In this work, we introduce a two-step framework for generative modeling ...
Deep neural networks (DNNs) have shown phenomenal success in a wide rang...
In this paper, we propose a model to perform speech dereverberation by
e...