3 citations · 4 across the 7 of their papers we have counts for
6 papers · 1 filter
Psychoacoustic Challenges Of Speech Enhancement On VoIP Platforms
Joseph Konan, Shikhar Agnihotri, Ojas Bhargave +4
Within the ambit of VoIP (Voice over Internet Protocol) telecommunications, the complexities introduced by acoustic transformations merit rigorous analysis. This research, rooted i…
Ontological Learning from Weak Labels
Larry Tang, Po Hao Chou, Yi Yu Zheng +3
Ontologies encompass a formal representation of knowledge through the definition of concepts or properties of a domain, and the relationships between those concepts. In this work,…
An Overview of Techniques for Biomarker Discovery in Voice Signal
Rita Singh, Ankit Shah, Hira Dhamyal
This paper reflects on the effect of several categories of medical conditions on human voice, focusing on those that may be hypothesized to have effects on voice, but for which the…
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…
Large-Scale Weakly Labeled Semi-Supervised Sound Event Detection in Domestic Environments
Romain Serizel, Nicolas Turpault, Hamid Eghbal-Zadeh +1
This paper presents DCASE 2018 task 4. The task evaluates systems for the large-scale detection of sound events using weakly labeled data (without time boundaries). The target of t…
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…