Exploring the convergence of Metaverse, Blockchain, and AI: A comprehensive survey of enabling technologies, applications, challenges, and future directions

M Uddin, M Obaidat, S Manickam… - … : Data Mining and …, 2024 - Wiley Online Library
The Metaverse, distinguished by its capacity to integrate the physical and digital realms
seamlessly, presents a dynamic virtual environment offering diverse opportunities for …

A metaverse: Taxonomy, components, applications, and open challenges

SM Park, YG Kim - IEEE access, 2022 - ieeexplore.ieee.org
Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

Spatial audio signal processing for binaural reproduction of recorded acoustic scenes–review and challenges

B Rafaely, V Tourbabin, E Habets… - Acta …, 2022 - acta-acustica.edpsciences.org
Spatial audio has been studied for several decades, but has seen much renewed interest
recently due to advances in both software and hardware for capture and playback, and the …

Understanding the academic use of KM-driven Metaverse technology: insights from medical colleges

AA Abdulmuhsin, HO Owain… - Journal of Science and …, 2024 - emerald.com
Purpose This study delves into the behavioural intentions of educators within medical
colleges at Mosul Universities concerning the adoption of Knowledge Management-Driven …

Object-based six-degrees-of-freedom rendering of sound scenes captured with multiple ambisonic receivers

L McCormack, A Politis, T McKenzie… - AES: Journal of the …, 2022 - researchportal.tuni.fi
This article proposes a system for object-based six-degrees-of-freedom (6DoF) rendering of
spatial sound scenes that are captured using a distributed arrangement of multiple …

Reconstruction of room impulse responses over extended domains for navigable sound field reproduction

E Fernandez-Grande, D Caviedes-Nozal… - 2021 Immersive and …, 2021 - ieeexplore.ieee.org
The acquisition of the spatio-temporal characteristics of a sound field over a large volume of
space is experimentally challenging, as a large number of transducers is required to sample …

Deep prior approach for room impulse response reconstruction

M Pezzoli, D Perini, A Bernardini, F Borra, F Antonacci… - Sensors, 2022 - mdpi.com
In this paper, we propose a data-driven approach for the reconstruction of unknown room
impulse responses (RIRs) based on the deep prior paradigm. We formulate RIR …

Metaverse ve metagirişimcilik: Kavramsal bir çerçeve

Ö Bozkurt, İH Gümüş - Girişimcilik ve Kalkınma Dergisi, 2022 - dergipark.org.tr
Bu çalışmanın amacı, son birkaç yılda yaygın olarak duyulmaya başlayan bir kavram olan
Metaverse ve onun etkisi ile ortaya çıkmış olan Metaverse Girişimcilik kavramını …

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 …

Physics-informed machine learning for sound field estimation

S Koyama, JGC Ribeiro, T Nakamura, N Ueno… - arXiv preprint arXiv …, 2024 - arxiv.org
The area of study concerning the estimation of spatial sound, ie, the distribution of a physical
quantity of sound such as acoustic pressure, is called sound field estimation, which is the …