25 citations · 37 across the 8 of their papers we have counts for
4 papers · 2 filters
A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement
Vijay Ravi, Jinhan Wang, Jonathan Flint +1
Preserving a patient's identity is a challenge for automatic, speech-based diagnosis of mental health disorders. In this paper, we address this issue by proposing adversarial disen…
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals
Jinhan Wang, Vijay Ravi, Jonathan Flint +1
Major Depressive Disorder (MDD) is a severe illness that affects millions of people, and it is critical to diagnose this disorder as early as possible. Detecting depression from vo…
Automatic Dialect Density Estimation for African American English
Alexander Johnson, Kevin Everson, Vijay Ravi +3
In this paper, we explore automatic prediction of dialect density of the African American English (AAE) dialect, where dialect density is defined as the percentage of words in an u…
FrAUG: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals
Vijay Ravi, Jinhan Wang, Jonathan Flint +1
In this paper, a data augmentation method is proposed for depression detection from speech signals. Samples for data augmentation were created by changing the frame-width and the f…