IJBTT

A Study On Metaverse Spatial Acoustic Adaptation To Minimize Environmental Adaptation Using Spatial Sounds Around Accessors

A Study On Metaverse Spatial Acoustic Adaptation To Minimize Environmental Adaptation Using Spatial Sounds Around Accessors
	© 2022 by IJETT Journal
	Volume-70 Issue-1
	Year of Publication : 2022
	Authors : Seong-Geon Bae
	DOI :  10.14445/22315381/IJETT-V70I1P206

How to Cite?

Seong-Geon Bae, "A Study On Metaverse Spatial Acoustic Adaptation To Minimize Environmental Adaptation Using Spatial Sounds Around Accessors," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 48-53, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I1P206

Abstract
The metaverse space is one of the ways to utilize the virtual space. By making good use of the features of the virtual space, it became possible to apply various exchanges and information sharing between non-face-toface users. Recently, these features have been used for non-face-to-face applications, but limited problems have arisen because of the use of networks. Therefore, this study introduced a method to solve these shortcomings and to minimize the time required for adaptability to participate in the virtual space at any time and to come back to the real space during participation to perform important tasks. This study provided a metaverse space considering the environment of the accessors by processing the acoustic elements. In order to adapt to these environmental changes, satisfaction was improved through weekly evaluations. This study can be applied in various ways to the utilization of metaverse space.

Keywords
Metaverse, virtual space, virtual sound effects, feedback, sound effects.

Reference
[1] Seong-Geon Bae, A study on the specificity of metamaterials using polygonal changes in the acoustic environment, IJETT, 69(12) (2021) 203-206.
[2] Seong-Geon Bae, A study on the analysis of sound signals according to adaptive sound image change in various virtual spaces, IJETT, 69(12) (2021)144-146.
[3] Seong-Geon Bae, A Study on the Acoustic Variation to Environment Changes in Virtual and Complex Reality IJERT, 13(4) (2020) 648-651.
[4] Seong-Geon Bae and Myung-Jin Bae, A Study on Recovery in Voice Analysis through Vocal Changes before and After Specch Using Speech Signal Processing, IJAER, 12 (2017) 5299-5303.
[5] S.G. Bae, M.S. Kim, and M.J. Bae, On Enhancement Signal Using Non-uniform Sampling in Clipped Signals for LTE Smart Phones, IEEE ICCE-berlin, (2013)125-126. ICCE-Berlin 2013.
[6] Seong-Geon Bae and Myung-Jin Bae, A Study on Recovery in Voice Analysis through Vocal Changes before and After Specch Using Speech Signal Processing, IJAER, 12 (2017) 5299-5303.
[7] S.G. Bae, M.S. Kim, and M.J. Bae, On Enhancement Signal Using Non-uniform Sampling in Clipped Signals for LTE Smart Phones, IEEE ICCE-berlin, (2013) 125-126, ICCE-Berlin 2013.
[8] M. J. Bae and S. H. Lee, Digital Voice Signal Analysis, Books Publishing Dong Young, 3(6) 1998.
[9] Seong-Geon Bae, A Study on the Acoustic Variation to Environment Changes in Virtual and Complex Reality,bIJERT, 13(4) (2020) 64-651.
[10] Seong-Geon Bae, Won-hee Lee, and Myung-Jin Bae, A Judgment of Intoxication using Hybrid Analysis with Pitch Coutour Compare in Speech Signal Processing, IJAER, 12 (2017) 2342-2346.
[11] Seong-Geon Bae and Myung-Jin Bae, A Study on Recovery in Voice Analysis through Vocal Changes before and After Specch Using Speech Signal Processing, IJAER, 12(2017) 5299-5303.
[12] Won-Hee Lee, Myung-Sook Kim, and Myung-Jin Bae, Using validframe deviation to the judgment of intoxication. Information, An International Interdisciplinary Journal, 18 (2015) 4131-4136.
[13] Seong-Geon Bae, Myung-Sook Kim, and Myung-Jin Bae, Using High-Frequency Accentuation in Speech Signals as a New Parameter in Intoxication Judgment. Information, An International Interdisciplinary Journal, 17 (2014) 6531-6536.
[14] Seong-Geon Bae, Myung-Jin Bae, A New Speech Coding using Harmonics Emphasis Filter, ISAAC 2013, AACL, 1 (2013)43-44.
[15] Geum-Ran Baek, Myung-Jin Bae, Study on the Judgment of Intoxication State using Speech Analysis,. 352(2012) 277-282. Springer-Verlag. 2012.