Title :
Performance following: Tracking a performance without a score
Author :
Stark, Adam M. ; Plumbley, Mark D.
Author_Institution :
Centre for Digital Music, Queen Mary Univ. of London, London, UK
Abstract :
We present a technique for following a live performance in the situation where a score is not available. Making use of a local alignment between recent and longer term musical information, we place the present in the context of the past, allowing the prediction of future performance information. By representing music as sequences of beat-synchronous features we reduce the size of the information needed to represent the performance and allow performance following in real-time to occur.
Keywords :
music; sequential estimation; beat-synchronous features; future performance information prediction; long term musical information; musical performance following; musical performance tracking; recent musical information; Amino acids; Computational biology; Data mining; Dynamic programming; Humans; Information analysis; Music information retrieval; Pattern analysis; Real time systems; Sequences; Music; Real time systems;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5494895
