Abstract
We present a first integrated prototype towards our long-term goal of building a complete classical music
companion. When listening to a live performance of classical piano music, our system is able to almost
instantly identify the piece that is being played, and the position within the piece. It then tracks the
performance via an accurate and robust score following algorithm and shows the sheet music accordingly.
Furthermore, the system continuously re-evaluates its current position hypotheses within a database of scores
(roughly 1,000,000 notes!) and is capable of detecting arbitrary 'jumps' by the performer (e.g., leaving out
repetitions, re-starts at any position, etc.) - not only within a piece, but within the complete database of
classical piano scores.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 53rd AES Conference on Semantic Audio, Audio Engineering Society |
| Number of pages | 2 |
| Publication status | Published - 2014 |
Fields of science
- 202002 Audiovisual media
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102015 Information systems
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)