409 citations · 1.5k across the 95 of their papers we have counts for
8 papers · 1 filter
Learning Sound Events From Webly Labeled Data
Anurag Kumar, Ankit Shah, Bhiksha Raj +1
In the last couple of years, weakly labeled learning has turned out to be an exciting approach for audio event detection. In this work, we introduce webly labeled learning for soun…
Neural Regression Trees
Shahan Ali Memon, Wenbo Zhao, Bhiksha Raj +1
Regression-via-Classification (RvC) is the process of converting a regression problem to a classification one. Current approaches for RvC use ad-hoc discretization strategies and a…
Disjoint Mapping Network for Cross-modal Matching of Voices and Faces
Yandong Wen, Mahmoud Al Ismail, Weiyang Liu +2
We propose a novel framework, called Disjoint Mapping Network (DIMNet), for cross-modal biometric matching, in particular of voices and faces. Different from the existing methods,…
Optimal Strategies for Matching and Retrieval Problems by Comparing Covariates
Yandong Wen, Mahmoud Al Ismail, Bhiksha Raj +1
In many retrieval problems, where we must retrieve one or more entries from a gallery in response to a probe, it is common practice to learn to do by directly comparing the probe a…
A Closer Look at Weak Label Learning for Audio Events
Ankit Shah, Anurag Kumar, Alexander G. Hauptmann +1
Audio content analysis in terms of sound events is an important research problem for a variety of applications. Recently, the development of weak labeling approaches for audio or s…
Voice Impersonation using Generative Adversarial Networks
Yang Gao, Rita Singh, Bhiksha Raj
Voice impersonation is not the same as voice transformation, although the latter is an essential element of it. In voice impersonation, the resultant voice must convincingly convey…