research
∙
09/15/2023
Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detection
Existing deepfake speech detection systems lack generalizability to unse...
share
research
∙
05/09/2023
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild” Edge Applications
Unsupervised speech models are becoming ubiquitous in the speech and mac...
research
∙
04/05/2023
On the Impact of Voice Anonymization on Speech-Based COVID-19 Detection
With advances seen in deep learning, voice-based applications are burgeo...
research
∙
02/18/2023
RobustDistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness
Self-supervised speech pre-training enables deep neural network models t...
research
∙
11/12/2022
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement
Self-supervised speech representation learning aims to extract meaningfu...
research
∙
03/18/2020
TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers
We present a novel longitudinal multimodal corpus of physiological and b...
research
∙
11/03/2019
Adversarial target-invariant representation learning for domain generalization
In many applications of machine learning, the training and test set data...
research
∙
06/20/2019
Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment
Assessment of mental workload in real world conditions is key to ensure ...
research
∙
01/23/2019
Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation
In this work, we introduce a two-step framework for generative modeling ...
research
∙
02/21/2018
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch
Deep neural networks (DNNs) have shown phenomenal success in a wide rang...
research
∙
11/16/2017
