An overview of machine learning and other data-based methods for spatial audio capture, processing, and reproduction

M Cobos, J Ahrens, K Kowalczyk, A Politis - EURASIP Journal on Audio …, 2022 - Springer
The domain of spatial audio comprises methods for capturing, processing, and reproducing
audio content that contains spatial information. Data-based methods are those that operate …

A semantic approach to improving machine readability of a large-scale attack graph

J Lee, D Moon, I Kim, Y Lee - The Journal of Supercomputing, 2019 - Springer
Automation in cyber security can be achieved by using attack graphs. Attack graphs allow us
to model possible paths that a potential attacker can use to intrude into a target network. In …

A hybrid speech enhancement system with DNN based speech reconstruction and Kalman filtering

H Yu, WP Zhu, Z Ouyang, B Champagne - Multimedia Tools and …, 2020 - Springer
In this paper, we propose a hybrid speech enhancement system that exploits deep neural
network (DNN) for speech reconstruction and Kalman filtering for further denoising, with the …

DNN-Assisted Speech Enhancement Approaches Incorporating Phase Information

H Yu - 2021 - spectrum.library.concordia.ca
Speech enhancement is a widely adopted technique that removes the interferences in a
corrupted speech to improve the speech quality and intelligibility. Speech enhancement …