ABSTRACT. The present study systematically reviews the existing research on holographic imaging and immersive 3D technologies, multi-machine cooperation and digital twin modeling tools, and computer vision and neural network-based recognition algorithms Our findings indicate that multisensory user experiences can be achieved by use of image processing computational and visual perception algorithms, digital contact tracing and cloud-based cognitive technologies, and voice and gesture recognition tools. Throughout January 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “real-time interoperable decentralized metaverse” + “acoustic environment recognition and visual tracking algorithms,” “deep learning-based ambient sound processing tools,” and “geospatial mapping and remote sensing technologies.” As research published between 2022 and 2023 was inspected, only 171 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 34 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.

Keywords: acoustic environment recognition and visual tracking algorithms; deep learning-based ambient sound processing tools; geospatial mapping and remote sensing technologies; metaverse

How to cite: Kucera, J., and Pera, A. (2023). “Acoustic Environment Recognition and Visual Tracking Algorithms, Deep Learning-based Ambient Sound Processing Tools, and Geospatial Mapping and Remote Sensing Technologies in a Real-Time Interoperable Decentralized Metaverse,” Linguistic and Philosophical Investigations 22: 128–144. doi: 10.22381/lpi2220238.

Received 24 February 2023 • Received in revised form 22 May 2023
Accepted 29 May 2023 • Available online 30 May 2023