Identifying Attack Articulations in Classical Guitar

  • Tan Hakan Özaslan
  • Enric Guaus
  • Eric Palacios
  • Josep Lluis Arcos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6684)


The study of musical expressivity is an active field in sound and music computing. The research interest comes from different motivations: to understand or model music expressivity; to identify the expressive resources that characterize an instrument, musical genre, or performer; or to build synthesis systems able to play expressively. Our research is focused on the study of classical guitar and deals with modeling the use of the expressive resources in the guitar. In this paper, we present a system that combines several state of the art analysis algorithms to identify guitar left hand articulations such as legatos and glissandos. After describing the components of our system, we report some experiments with recordings containing single articulations and short melodies performed by a professional guitarist.


Fundamental Frequency Release Part Extraction Module Expressive Articulation Envelope Approximation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tan Hakan Özaslan
    • 1
  • Enric Guaus
    • 1
  • Eric Palacios
    • 1
  • Josep Lluis Arcos
    • 1
  1. 1.IIIA, Artificial Intelligence Research Institute, CSICSpanish National Research CouncilBellaterraSpain

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