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Celestia: a vocal interaction music game

Published: 27 April 2013 Publication History

Abstract

Voice is one of the most natural means of expression and the vocal interaction is gaining popularity in game development field. In this paper, we present Celestia, a vocal interaction music game that detects different pitches to trigger specific visual events, and explain the design and development phases of it.

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References

[1]
Sri H. Kurniawan and Adam J. Sporka. 2008. Vocal interaction. In CHI '08 Extended Abstracts on Human Factors in Computing Systems (CHI EA '08). ACM, New York, NY, USA, 2407--2410. DOI=10.1145/1358628.1358695 http://doi.acm.org/10.1145/1358628.1358695
[2]
Donald A. Norman. 2002. The Design of Everyday Things. Basic Books, Inc., New York, NY, USA.
[3]
Fry, Ben. 2008. Visualizing Data. O'Relly Media, Inc., CA, USA.
[4]
Rohde and Schwarz, Dr. Florian Ramian. 2011. Implementation of Real-Time Spectrum Analysis. Figure 11. "Makey Makey", 2012, by Eric Rosenbaum, Jay Silver

Cited By

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  • (2021)A Survey of Music Visualization TechniquesACM Computing Surveys10.1145/346183554:7(1-29)Online publication date: 18-Jul-2021

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  1. Celestia: a vocal interaction music game

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    cover image ACM Conferences
    CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
    April 2013
    3360 pages
    ISBN:9781450319522
    DOI:10.1145/2468356
    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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    New York, NY, United States

    Publication History

    Published: 27 April 2013

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    Author Tags

    1. game design
    2. music visualization
    3. pitch detection
    4. vocal interaction

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    CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    • (2021)A Survey of Music Visualization TechniquesACM Computing Surveys10.1145/346183554:7(1-29)Online publication date: 18-Jul-2021

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