Paper Info
Title
Algorithms for an automatic transcription of live music performances into symbolic format
Abstract
This paper addresses the problem of the real-time automatic transcription of a live music performance into a symbolic format. The source data are given by any music instrument or other device able to communicate through a performance protocol. During a performance, music events are parsed and their parameters are evaluated thanks to rhythm and pitch detection algorithms. The final step is the creation of a well-formed XML document, validated against the new international standard known as IEEE 1599. This work will shortly describe both the software environment and the XML format, but the main analysis will involve the real-time recognition of music events. Finally, a case study will be presented: PureMX, a set of Pure Data externals, able to perform the automatic transcription of MIDI events.
Year
DOI
Venue
2009
10.1007/978-3-642-12439-6_22
computer music modeling and retrieval
Keywords
Field
DocType
real-time automatic transcription,music event,xml format,symbolic format,performance protocol,well-formed xml document,real-time recognition,automatic transcription,music instrument,live music performance,internal standard,real time,xml document
Pure Data,XML,Source data,Computer science,Algorithm,MIDI,Software,Human–computer interaction,Parsing,Pitch detection algorithm,Multimedia,Rhythm
Conference
Volume
ISSN
Citations 
5954
0302-9743
1
PageRank 
References 
Authors
0.41
1
3
Name
Order
Citations
PageRank
Stefano Baldan1113.46
Luca A. Ludovico26620.61
Davide A. Mauro3145.06