BLACKBOARD SYSTEM AND TOP-DOWN PROCESSING FOR THE TRANSCRIPTION OF SIMPLE POLYPHONIC MUSIC

Juan Pablo Bello, Mark Sandler

Research output: Contribution to journalConference articlepeer-review

Abstract

A system is proposed to perform the automatic music transcription of simple polyphonic tracks using top-down processing. It is composed of a blackboard system of three hierarchical levels, receiving its input from a segmentation routine in the form of an averaged STFT matrix. The blackboard contains a hypotheses database, a scheduler and knowledge sources, one of which is a neural network chord recogniser with the ability to reconfigure the operation of the system, allowing it to output more than one note hypothesis at a time. The basic implementation is explained, and some examples are provided to illustrate the performance of the system. The weaknesses of the current implementation are shown and next steps for further development of the system are defined.

Original languageEnglish (US)
JournalProceedings of the International Conference on Digital Audio Effects, DAFx
StatePublished - 2000
Event2000 COST G-6 Conference on Digital Audio Effects, DAFx 2000 - Verona, Italy
Duration: Dec 7 2000Dec 9 2000

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing
  • Music

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