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A Statistical Approach to Analyzing Sound Tracings

Nymoen, Kristian; Tørresen, Jim; Godøy, Rolf Inge; Jensenius, Alexander Refsum
Chapter; AcceptedVersion; Peer reviewed
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knST2-LNCS.pdf (7.015Mb)
Year
2012
Permanent link
http://urn.nb.no/URN:NBN:no-31293

CRIStin
933333

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Appears in the following Collection
  • Institutt for informatikk [3608]
  • Institutt for musikkvitenskap [236]
Original version
Speech, Sound and Music Processing: Embracing Research in India. 8th International Symposium, CMMR 2011. 20th International Symposium, FRSM 2011. 2012, 120-145, DOI: http://dx.doi.org/10.1007/978-3-642-31980-8_11
Abstract
This paper presents an experiment on sound tracing, meaning an experiment on how people relate motion to sound. 38 participants were presented with 18 short sounds, and instructed to move their hands in the air while acting as though the sound was created by their hand motion. The hand motion of the participants was recorded, and has been analyzed using statistical tests, comparing results between different sounds, between different subjects, and between different sound classes. We have identified several relationships between sound and motion which are present in the majority of the subjects. A clear distinction was found in onset acceleration for motion to sounds with an impulsive dynamic envelope compared to non-impulsive sounds. Furthermore, vertical movement has been shown to be related to sound frequency, both in terms of spectral centroid and pitch. Moreover, a significantly higher amount of overall acceleration was observed for non-pitched sounds as compared to pitched sounds.

The original publication is available at www.springerlink.com.

Lecture Notes in Computer Science, 2012, Volume 7172/2012, 120-145.
 
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