Abstract
In our talk we will present a piano music companion that is
able to follow and understand (at least to some extent) a live
piano performance. Within a few seconds the system is able to
identify the piece that is being played, and the position within
the piece. It then tracks the performance over time via a robust
score following algorithm. Furthermore, the system continuously
re-evaluates its current position hypotheses within a
database of scores and is capable of detecting arbitrary ‘jumps’
by the performer. The system can be of use in multiple ways,
e.g. for piano rehearsal, for live visualisation of music, and for
automatic page turning. At the conference, we will demonstrate
this system live on stage. If possible, we would also like to encourage
(hobby-)pianists in the audience to try the companion
themselves. Additionally, we will give an outlook on our efforts
to extend this approach to classical music in general, including
heavily polyphonic orchestral music.
| Original language | English |
|---|---|
| Title of host publication | Vienna Talk on Music Acoustics, (2015), |
| Number of pages | 4 |
| Publication status | Published - 2015 |
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)