Abstract
In this paper we present a novel algorithm that, given a
short snippet of an audio performance (piano music, for the
time being), identifies the piece and the score position. Instead
of using audio matching methods we propose a combination
of a state-of-the-art music transcription algorithm
and a new symbolic fingerprinting method. The resulting
system is usable in both on-line and off-line scenarios and
thus may be of use in many application areas. As the evaluation
shows the system operates with only minimal lag
and achieves high precision even with very short queries.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2012 |
| Number of pages | 6 |
| Publication status | Published - Oct 2012 |
Fields of science
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)