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Abstract

EGT (Enriched Guitar Transcription) is a real-time and automatic guitar playing transcription software. Unlike most of the automatic score transcription software, not only the note on, note off events and pitch tracking are performed, but all the main guitar playing techniques are detected as well, providing a more complete transcription of the playing. These detections are made possible thanks to the use of an hexaphonic pickup (one pickup per string) enabling a string-by-string analysis. These transcriptions can then be used in many different contexts and / or embedded in different tools in order to obtain high-level information on the instrumentalist playing. This paper will demonstrate two use cases: a complete and realtime tablature writer and a 3D neck model controlled by the detected guitar playing events.

Keywords

Guitar playing techniques hexaphony music information retrieval automatic score transcription augmented guitar guitar controller 

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References

  1. 1.
    Barbancho, A.M., Klapuri, A., Tardon, L.J., Barbancho, I.: Automatic transcription of guitar chords and fingering from audio. Trans. Audio, Speech and Lang. Proc. 20(3), 915–921 (2012)CrossRefGoogle Scholar
  2. 2.
    Fiss, X., Kwasinski, A.: Automatic real-time electric guitar audio transcription. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague Congress Center, Prague, Czech Republic, May 22-27, pp. 373–376. IEEE (2011)Google Scholar
  3. 3.
    Graham, R.: A live performance system in pure data: Pitch contour as figurative gesture. In: Proc.of Pure Data Convention, Bauhaus-Universität, Weimar, Germany (August 2011)Google Scholar
  4. 4.
    Guaus, E., Ozaslan, T., Palacios, E., Ll Arcos, J.: A left hand gesture caption system for guitar based on capacitive sensors. In: Proc. of NIME (2010)Google Scholar
  5. 5.
    Lähdeoja, O.: An approach to instrument augmentation: the electric guitar. In: Proceedings of the 2008 Conference on New Interfaces for Musical Expression, NIME 2008 (2008)Google Scholar
  6. 6.
    Penttinen, H., Välimäki, V.: Time-domain approach to estimating the plucking point of guitar tones obtained with an under-saddle pickup. Applied Acoustics 65(12), 1207–1220 (2004)CrossRefGoogle Scholar
  7. 7.
    Reboursière, L., Frisson, C., Lähdeoja, O., Mills III, J.A., Picard, C., Todoroff, T.: Multimodal guitar: A toolbox for augmented guitar performances. In: Proc. of NIME (2010)Google Scholar
  8. 8.
    Reboursière, L., Lähdeoja, O., Drugman, T., Dupont, S., Picard, C., Riche, N.: Left and right-hand guitar playing techniques detection. In: Proc. of NIME (2012)Google Scholar
  9. 9.
    Traube, C., Depalle, P.: Extraction of the excitation point location on a string using weighted least-square estimation of comb filter delay. In: Proceedings of the Conference on Digital Audio Effects, DAFx (2003)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Loïc Reboursière
    • 1
  • Stéphane Dupont
    • 1
  1. 1.Laboratoire de Théorie des Circuits et Traitement du Signal (TCTS)Faculté Polytechnique de Mons (FPMs)Belgique

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