Integrating artificial intelligence with virtual reality for soundscape appraisal

W. M. To; Andy Chung; Iris Vong

Integrating artificial intelligence with virtual reality for soundscape appraisal

W. M. To, Andy Chung, Iris Vong

Faculty of Business

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

Soundscape is about human perception of a sonic environment. Apparently, different people may have different perceptions for the same sonic stimulus or in the same sonic environment. As a journey to the ultimate adaptive soundscape provisions, researchers are exploring the use of machine learning and/or deep learning for integration with virtual reality technology to facilitate better soundscape evaluation. This paper presents initial findings.

Original language	English
Publication status	Published - 2018
Event	47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018 - Chicago, United States Duration: 26 Aug 2018 → 29 Aug 2018

Conference

Conference	47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018
Country/Territory	United States
City	Chicago
Period	26/08/18 → 29/08/18

Keywords

Artificial Intelligence I-INCE Classification of Subjects Number(s): 63.7
Perception
Soundscape
Virtual Reality

Cite this

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title = "Integrating artificial intelligence with virtual reality for soundscape appraisal",

abstract = "Soundscape is about human perception of a sonic environment. Apparently, different people may have different perceptions for the same sonic stimulus or in the same sonic environment. As a journey to the ultimate adaptive soundscape provisions, researchers are exploring the use of machine learning and/or deep learning for integration with virtual reality technology to facilitate better soundscape evaluation. This paper presents initial findings.",

keywords = "Artificial Intelligence I-INCE Classification of Subjects Number(s): 63.7, Perception, Soundscape, Virtual Reality",

author = "To, {W. M.} and Andy Chung and Iris Vong",

note = "Publisher Copyright: {\textcopyright} INTER-NOISE 2018 - 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering. All rights reserved.; 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018 ; Conference date: 26-08-2018 Through 29-08-2018",

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T1 - Integrating artificial intelligence with virtual reality for soundscape appraisal

AU - To, W. M.

AU - Chung, Andy

AU - Vong, Iris

PY - 2018

Y1 - 2018

N2 - Soundscape is about human perception of a sonic environment. Apparently, different people may have different perceptions for the same sonic stimulus or in the same sonic environment. As a journey to the ultimate adaptive soundscape provisions, researchers are exploring the use of machine learning and/or deep learning for integration with virtual reality technology to facilitate better soundscape evaluation. This paper presents initial findings.

AB - Soundscape is about human perception of a sonic environment. Apparently, different people may have different perceptions for the same sonic stimulus or in the same sonic environment. As a journey to the ultimate adaptive soundscape provisions, researchers are exploring the use of machine learning and/or deep learning for integration with virtual reality technology to facilitate better soundscape evaluation. This paper presents initial findings.

KW - Artificial Intelligence I-INCE Classification of Subjects Number(s): 63.7

KW - Perception

KW - Soundscape

KW - Virtual Reality

UR - http://www.scopus.com/inward/record.url?scp=85059431142&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85059431142

T2 - 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018

Y2 - 26 August 2018 through 29 August 2018

ER -

Integrating artificial intelligence with virtual reality for soundscape appraisal

Abstract

Conference

Keywords

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Cite this