Abstract | ||
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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. |
Year | DOI | Venue |
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2010 | 10.1109/ICASSP.2010.5494895 | 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING |
Keywords | Field | DocType |
Music, Real time systems | Dynamic programming,Music information retrieval,Algorithm design,Pattern recognition,Computer science,Pattern analysis,Speech recognition,Artificial intelligence,Smith–Waterman algorithm,Sequential estimation,Machine learning | Conference |
ISSN | Citations | PageRank |
1520-6149 | 2 | 0.39 |
References | Authors | |
5 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Adam M. Stark | 1 | 27 | 3.72 |
M. D. Plumbley | 2 | 1915 | 202.38 |