A Reference Architecture and Score Representation for Popular Music Human-Computer Music Performance Systems

نویسندگان

  • Nicolas E. Gold
  • Roger B. Dannenberg
چکیده

Popular music (characterized by improvised instrumental parts, beat and measure-level organization, and steady tempo) poses challenges for human-computer music performance (HCMP). Pieces of music are typically rearrangeable on-the-fly and involve a high degree of variation from ensemble to ensemble, and even between rehearsal and performance. Computer systems aiming to participate in such ensembles must therefore cope with a dynamic high-level structure in addition to the more traditional problems of beat-tracking, score-following, and machine improvisation. There are many approaches to integrating the components required to implement dynamic human-computer music performance systems. This paper presents a reference architecture designed to allow the typical sub-components (e.g. beat-tracking, tempo prediction, improvisation) to be integrated in a consistent way, allowing them to be combined and/or compared systematically. In addition, the paper presents a dynamic score representation particularly suited to the demands of popular music performance by computer.

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تاریخ انتشار 2011