IJBTT

A Study On The Analysis of Sound Signals According To Adaptive Sound Image Change In Various Virtual Spaces

A Study On The Analysis of Sound Signals According To Adaptive Sound Image Change In Various Virtual Spaces
	© 2021 by IJETT Journal
	Volume-69 Issue-12
	Year of Publication : 2021
	Authors : Seong-Geon Bae
	DOI :  10.14445/22315381/IJETT-V69I12P217

How to Cite?

Seong-Geon Bae, "A Study On The Analysis of Sound Signals According To Adaptive Sound Image Change In Various Virtual Spaces," International Journal of Engineering Trends and Technology, vol. 69, no. 12, pp. 144-146, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I12P217

Abstract
Contents made with virtual spaces are evolving in various ways. Using the features of virtual spaces, they create avatars between each other even from a distance to express their personalities. The characteristics of virtual spaces it is further developed by creating diversity and developing individual characteristics. These days, using the metaverse spaces, are being used as spaces where individuals and a large number of people meet. These spaces give us freedom in terms of time and space that we have to meet face-to-face. The complex and varied considerations of face-to-face can undermine the purpose and delivery of content. Therefore, this study considered the characteristics according to various changes by considering the acoustic characteristics in the metaverse environment with these evolving virtual spaces.

Keywords
Virtual spaces, metaverse, acoustic characteristics, adaptive image filter

Reference
[1] Seong-Geon Bae., A Study on the Improvement of Sound Quality by Compensatory Variables through Improved Openness in Virtual Space, IJETT, 68(11) (2020) 89-91.
[2] Seong-Geon Bae., A Study on the Acoustic Variation to Environment Changes in Virtual and Complex Reality IJERT, 13(4) (2020) 648-651.
[3] Seong-Geon Bae and Myung-Jin Bae., A Study on Recovery in Voice Analysis through Vocal Changes before and After Speech Using Speech Signal Processing, IJAER, 12 (2017) 5299-5303 .
[4] 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.
[5] Seong-Geon Bae and Myung-Jin Bae., A Study on Recovery in Voice Analysis through Vocal Changes before and After Speech Using Speech Signal Processing, IJAER, 12 (2017) 5299-5303.
[6] 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.
[7] M. J. Bae and S. H. Lee., Digital Voice Signal Analysis, Books Publishing Dong Young, (1998) 3,6.
[8] Seong-Geon Bae, A Study on the Acoustic Variation to Environment Changes in Virtual and Complex Reality, IJERT, 13(4) (2020) 64-651.
[9] 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.
[10] Seong-Geon Bae and Myung-Jin Bae., A Study on Recovery in Voice Analysis through Vocal Changes before and After Speech Using Speech Signal Processing, IJAER, 12 (2017) 5299-5303.
[11] Won-Hee Lee, Myung-Sook Kim, and Myung-Jin Bae., Using valid-frame deviation to the judgment of intoxication. Information, An International Interdisciplinary Journal, 18 (2015) 4131-4136.
[12] 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.
[13] Seong-Geon Bae, Myung-Jin Bae, A New Speech Coding using Harmonics Emphasis Filter, ISAAC 2013, AACL 1 (2013) 43-44.
[14] Geum-Ran Baek, Myung-Jin Bae, Study on the Judgment of Intoxication State using Speech Analysis . 352 CCIS, (2012) 277-282, Springer-Verlag.