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Towards an online voice-based gender and internal state detection model

Published: 06 March 2011 Publication History

Abstract

In human-robot interaction, gender and internal state detection play an important role in making the robot reacting in an appropriate manner. This research focuses on the important features to extract from a voice signal in order to construct successful gender and internal state detection systems, and shows the benefits of combining both systems together on the total average recognition score. Moreover, it consists a foundation on an ongoing approach to estimate the human internal state online via unsupervised clustering algorithms.

References

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C. Breazeal and L. Aryananda. Recognition of affective communicative intent in robot-directed speech. Autonomous Robots Journal, 12(1):83--104, January 2002.
[2]
F. Burkhardt, A. Paeschke, M. Rolfes, W. Sendlmeier, and B. Weiss. A database of german emotional speech. In Proc. Interspeech, Germany, 2005.
[3]
N. Pal and D. Chakraborty. Mountain and subtractive clustering method: improvements and generalizations. International Journal of Intelligent Systems, 15(4):329--341, 2000.
[4]
D. Talkin. A robust algorithm for pitch tracking. In Speech Coding and Synthesis, pages 497--518. W. B. Kleijn, K. Paliwal eds, Elsevier, 1995.
[5]
H. Traunmuller and A. Eriksson. A method of measuring formant frequencies at high fundamental frequencies. In Fifth European Conference on Speech, Greece, 1997.

Cited By

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  • (2020)On Designing Expressive Robot Behavior: The Effect of Affective Cues on InteractionSN Computer Science10.1007/s42979-020-00263-31:6Online publication date: 29-Sep-2020
  • (2011)User adaptable robot behavior2011 International Conference on Collaboration Technologies and Systems (CTS)10.1109/CTS.2011.5928681(165-167)Online publication date: May-2011

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Published In

cover image ACM Conferences
HRI '11: Proceedings of the 6th international conference on Human-robot interaction
March 2011
526 pages
ISBN:9781450305617
DOI:10.1145/1957656

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  • RA: IEEE Robotics and Automation Society
  • Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc
  • The Association for the Advancement of Artificial Intelligence (AAAI)
  • IEEE Systems, Man and Cybernetics Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2011

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Author Tags

  1. human-robot interaction
  2. internal state detection
  3. online classifcation

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

View all
  • (2020)On Designing Expressive Robot Behavior: The Effect of Affective Cues on InteractionSN Computer Science10.1007/s42979-020-00263-31:6Online publication date: 29-Sep-2020
  • (2011)User adaptable robot behavior2011 International Conference on Collaboration Technologies and Systems (CTS)10.1109/CTS.2011.5928681(165-167)Online publication date: May-2011

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