Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
Driven by the increasing amount of music available electronically the need of
automatic search and retrieval systems for music becomes more and more
important. In this paper an algorithm for automatic transcription of
polyphonic piano music into MIDI data is presented, which is a very
interesting basis for database applications and music analysis. The first part
of the algorithm performs a note accurate temporal audio segmentation. The
resulting segments are examined to extract the notes played in the second
part. An algorithm for chord separation based on Independent Subspace Analysis
is presented. Finally, the results are used to build a MIDI file.