32 citations · 65 across the 10 of their papers we have counts for
5 papers · 1 filter
Deep Impulse Responses: Estimating and Parameterizing Filters with Deep Networks
Alexander Richard, Peter Dodds, Vamsi Krishna Ithapu
Impulse response estimation in high noise and in-the-wild settings, with minimal control of the underlying data distributions, is a challenging problem. We propose a novel framewor…
EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments
Jacob Donley, Vladimir Tourbabin, Jung-Suk Lee +6
Augmented Reality (AR) as a platform has the potential to facilitate the reduction of the cocktail party effect. Future AR headsets could potentially leverage information from an a…
Do sound event representations generalize to other audio tasks? A case study in audio transfer learning
Anurag Kumar, Yun Wang, Vamsi Krishna Ithapu +1
Transfer learning is critical for efficient information transfer across multiple related learning problems. A simple, yet effective transfer learning approach utilizes deep neural…
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
Anurag Kumar, Vamsi Krishna Ithapu
An important problem in machine auditory perception is to recognize and detect sound events. In this paper, we propose a sequential self-teaching approach to learning sounds. Our m…
Secost: Sequential co-supervision for large scale weakly labeled audio event detection
Anurag Kumar, Vamsi Krishna Ithapu
Weakly supervised learning algorithms are critical for scaling audio event detection to several hundreds of sound categories. Such learning models should not only disambiguate soun…