abstract

Avatar Voice Morphing to Match Subjective and Objective Self Voice Perception

Authors:

Hiiro Okano,

Keisuke Mizuno,

Haruna Miyakawa,

Keiichi ZempoAuthors Info & Claims

VRST '22: Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology

Article No.: 44, Pages 1 - 2

https://doi.org/10.1145/3562939.3565671

Published: 29 November 2022 Publication History

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Abstract

We investigated the effect of morphing the avatar’s voice from the user’s voice on its impressions. We also investigated whether the image of morphing differed between those who liked and disliked their voice. The experiment was conducted by morphing the acoustic parameters such as fundamental frequency, spectral envelope, and aperiodic component based on the acoustic signals recorded by the participants themselves, and investigating their impressions of an avatar speaking with that voice. The result showed that those who liked their voice were most impressed by their original voice, while those who disliked it were more impressed by the morphed voice. This suggests that people who dislike their voice tend to seek their ideal in the avatar’s voice.

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References

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Cited By

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Hatada YBarbareschi GTakeuchi KKato HYoshifuji KMinamizawa KNarumi T(2024)People with Disabilities Redefining Identity through Robotic and Virtual Avatars: A Case Study in Avatar Robot CafeProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642189(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642189
Kao DMubarrat SJoshi APandita SMousas CLiang HRatan R(2024)Exploring how gender-anonymous voice avatars influence women’s performance in online computing group workInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103146181:COnline publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.ijhcs.2023.103146

Index Terms

Avatar Voice Morphing to Match Subjective and Objective Self Voice Perception
1. Computing methodologies
  1. Computer graphics
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms

Index terms have been assigned to the content through auto-classification.

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Information

Published In

VRST '22: Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology

November 2022

466 pages

ISBN:9781450398893

DOI:10.1145/3562939

Editors:
Takafumi Koike
Hosei University, Japan
,
Naoya Koizumi
The University of Electro-Communications, Japan
,
Gerd Bruder
University of Central Florida, USA
,
Daniel Roth
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
,
Kazuki Takashima
Tohoku University, Japan
,
Takefumi Hiraki
University of Tsukuba, Japan
,
Yuki Ban
The University of Tokyo, Japan
,
Michal Piovarci
Institute of Science and Technology Austria, Austria

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 29 November 2022

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VRST '22

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VRST '22: 28th ACM Symposium on Virtual Reality Software and Technology

November 29 - December 1, 2022

Tsukuba, Japan

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Hatada YBarbareschi GTakeuchi KKato HYoshifuji KMinamizawa KNarumi T(2024)People with Disabilities Redefining Identity through Robotic and Virtual Avatars: A Case Study in Avatar Robot CafeProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642189(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642189
Kao DMubarrat SJoshi APandita SMousas CLiang HRatan R(2024)Exploring how gender-anonymous voice avatars influence women’s performance in online computing group workInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2023.103146181:COnline publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.ijhcs.2023.103146

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Recommendations

Voice pharming attack and the trust of VoIP

Regulating Feelings During Interpersonal Conflicts by Changing Voice Self-perception

Voice-Enabling the Data Network: H.323, MGCP, SIP, Q.S, SLAs, and Security

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