Volume adaptation and visualization by modeling the volume level in noisy environments for telepresence system

Akira Hayamizu, Michita Imai, Keisuke Nakamura, Kazuhiro Nakadai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

The Lombard effect is the involuntary tendency of speakers to increase their vocal effort when speaking in a loud noise to enhance the audibility of their voice. There is a problem in telecommunication due to the Lombard effect. A speaker talks at a louder volume than necessary for the conversation partner at a remote location. This paper proposes a volume model that is required in order to automatically adjust the volume of an operator's voice at a remote communication via a telepresence robot, and develops an optimal volume control system LombaBot equipped on a telepresence robot with the model. The volume model measures the level of noise around the robot and the distance between a conversation partner and the robot to adjust the volume of the operator's voice. It has two types of volume adjustments. Those are called comfortable volume and secret talk volume. LombaBot enables people at a remote site to listen comfortably to the voice of a robot operator. Moreover, the operator is able to talk in low voices when s/he wants to talk in secret with nearby people. We confirmed that LombaBot adjusted the volume of an operator's voice properly in the noisy remote location.

Original languageEnglish
Title of host publicationHAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages67-74
Number of pages8
ISBN (Print)9781450330350
DOIs
Publication statusPublished - 2014 Oct 29
Event2nd International Conference on Human-Agent Interaction, HAI 2014 - Tsukuba, Japan
Duration: 2014 Oct 292014 Oct 31

Other

Other2nd International Conference on Human-Agent Interaction, HAI 2014
CountryJapan
CityTsukuba
Period14/10/2914/10/31

Fingerprint

Visualization
Robots
Telecommunication
Control systems
Communication

Keywords

  • Adjusting Volume
  • Tele-communication
  • Tele-presence robot
  • Volume Model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Software

Cite this

Hayamizu, A., Imai, M., Nakamura, K., & Nakadai, K. (2014). Volume adaptation and visualization by modeling the volume level in noisy environments for telepresence system. In HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction (pp. 67-74). Association for Computing Machinery, Inc. https://doi.org/10.1145/2658861.2658875

Volume adaptation and visualization by modeling the volume level in noisy environments for telepresence system. / Hayamizu, Akira; Imai, Michita; Nakamura, Keisuke; Nakadai, Kazuhiro.

HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction. Association for Computing Machinery, Inc, 2014. p. 67-74.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hayamizu, A, Imai, M, Nakamura, K & Nakadai, K 2014, Volume adaptation and visualization by modeling the volume level in noisy environments for telepresence system. in HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction. Association for Computing Machinery, Inc, pp. 67-74, 2nd International Conference on Human-Agent Interaction, HAI 2014, Tsukuba, Japan, 14/10/29. https://doi.org/10.1145/2658861.2658875
Hayamizu A, Imai M, Nakamura K, Nakadai K. Volume adaptation and visualization by modeling the volume level in noisy environments for telepresence system. In HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction. Association for Computing Machinery, Inc. 2014. p. 67-74 https://doi.org/10.1145/2658861.2658875
Hayamizu, Akira ; Imai, Michita ; Nakamura, Keisuke ; Nakadai, Kazuhiro. / Volume adaptation and visualization by modeling the volume level in noisy environments for telepresence system. HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction. Association for Computing Machinery, Inc, 2014. pp. 67-74
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