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On Tanpura Drone and Brain Electrical Correlates

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7172)

Abstract

We describe a new conceptual framework of using tanpura drone for auditory stimulation in EEG. The question of reference for baseline EEG in the resting condition where the subject has no task to perform is addressed. In a laboratory setting we observed spontaneous brain electrical activity during Tanpura drone stimulation and periods of silence. The sound stimulus was given by an electronic substitute Tanpura (EST) that allows to closely control its parameters. The timbral characteristics of the drone samples are given. The brain-electrical response of the subject is analyzed with global descriptors, a way to monitor the course of activation in the time domain in a three-dimensional state space, revealing patterns of global dynamical states of the brain. Preliminary results are presented that serve as a stepping stone for a larger longitudinal study.

Keywords

  • EEG
  • global descriptors
  • Tanpura
  • drone
  • timbre
  • correlates

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References

  1. Bhattacharyya, K.L., Ghosh, B.K., Chatterjee, S.K.: Observations on the vibration of the indian plucked stringed instrument, tanpura. Naturwissenschaften 43, 103–104 (1956), 10.1007/BF00600870

    CrossRef  Google Scholar 

  2. Carterette, E.C., Jairazbhoy, N., Vaughn, K.: The role of tambura spectra in drone tunings of north indian ragas. The Journal of the Acoustical Society of America 83(S1), S121 (1988)

    CrossRef  Google Scholar 

  3. Carterette, E.C., Vaughn, K., Jairazbhoy, N.A.: Perceptual, acoustical, and musical aspects of the tambura drone. Music Perception: An Interdisciplinary Journal 7(2), 75–108 (1989)

    Google Scholar 

  4. Deva, B.C.: The music of India. Munshiram Manoharial Publishers Private, Limited (December 1995)

    Google Scholar 

  5. Hjorth, B.: EEG analysis based on time domain properties. Electroencephalography and Clinical Neurophysiology 29(3), 306–310 (1970)

    CrossRef  Google Scholar 

  6. Houtsma, A.J.M., Burns, E.M.: Temporal and spectral characteristics of tambura tones. The Journal of the Acoustical Society of America 71(S1), S83 (1982)

    CrossRef  Google Scholar 

  7. Jensen, K., Marentakis, G.: Hybrid perception. Papers from the 1st Seminar on Auditory Models, Lyngby, Denmark (2001)

    Google Scholar 

  8. Jensen, K.: Perceptual and physical aspects of musical sounds. Journal of Sangeet Research Academy (2002)

    Google Scholar 

  9. Metzger, W.: Optische Untersuchungen am Ganzfeld. Psychological Research 13, 6–29 (1930), 10.1007/BF00406757

    CrossRef  Google Scholar 

  10. Pollard, H.F., Jansson, E.V.: A tristimulus method for the specificaton of musical timbre. Acoustica 51, 162–171 (1982)

    Google Scholar 

  11. Pütz, P., Braeunig, M., Wackermann, J.: EEG correlates of multimodal Ganzfeld induced hallucinatory imagery. International Journal of Psychophysiology 61(2), 167–178 (2006)

    CrossRef  Google Scholar 

  12. Raman, C.V.: On some indian stringed instruments. Proc. Indian Assoc. Cultiv. Sci. 7, 29–33 (1921)

    Google Scholar 

  13. Sengupta, R., Dey, N., Datta, A.K., Ghosh, D.: Assessment of musical quality of tanpura by fractal-dimensional analysis. Fractals 13(3), 245–252 (2005)

    CrossRef  MATH  Google Scholar 

  14. Sengupta, R., Dey, N., Nag, D., Datta, A.K., Parui, S.K.: Objective evaluation of tanpura from the sound signals using spectral features. Journal of ITC Sangeet Research Academy 18 (2004)

    Google Scholar 

  15. Sundberg, J.: Phonatory vibrations in singers: A critical review. Music Perception: An Interdisciplinary Journal 9(3), 361–381 (1992)

    MathSciNet  Google Scholar 

  16. Thurman, L., Welch, G., Theimer, A., Klitzk, C.: Addressing vocal register diescrepancies: An alternative, science-based theory of register phenomena. In: Second International Conference, The Physiology and Acoustics of Singing, pp. 4–6. National Center for Voice and Speech (2004)

    Google Scholar 

  17. Verrillo, R.T.: Vibration sensation in humans. Music Perception. An Interdisciplinary Journal 9(3), 281–302 (1992)

    Google Scholar 

  18. Wackermann, J., Allefeld, C.: State space representation and global descriptors of brain electrical activity. In: Electrical Neuroimaging, pp. 191–214. Cambridge University Press (2009)

    Google Scholar 

  19. Wackermann, J., Allefeld, C.: On the meaning and interpretation of global descriptors of brain electrical activity. Including a reply to X. Pei et al. Int. J. Psychophysiol. 64(2), 199–210 (2007)

    CrossRef  Google Scholar 

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Braeunig, M., Sengupta, R., Patranabis, A. (2012). On Tanpura Drone and Brain Electrical Correlates. In: Ystad, S., Aramaki, M., Kronland-Martinet, R., Jensen, K., Mohanty, S. (eds) Speech, Sound and Music Processing: Embracing Research in India. CMMR FRSM 2011 2011. Lecture Notes in Computer Science, vol 7172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31980-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-31980-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31979-2

  • Online ISBN: 978-3-642-31980-8

  • eBook Packages: Computer ScienceComputer Science (R0)