32 citations · 122 across the 33 of their papers we have counts for
7 papers · 1 filter
Continual self-training with bootstrapped remixing for speech enhancement
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu +2
We propose RemixIT, a simple and novel self-supervised training method for speech enhancement. The proposed method is based on a continuously self-training scheme that overcomes li…
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outd…
Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech
Christian J. Steinmetz, Vamsi Krishna Ithapu, Paul Calamia
Deep learning approaches have emerged that aim to transform an audio signal so that it sounds as if it was recorded in the same room as a reference recording, with applications bot…
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…
DPLM: A Deep Perceptual Spatial-Audio Localization Metric
Pranay Manocha, Anurag Kumar, Buye Xu +4
Subjective evaluations are critical for assessing the perceptual realism of sounds in audio-synthesis driven technologies like augmented and virtual reality. However, they are chal…