Piano Pedaller: A Measurement System for Classification and Visualisation of Piano Pedalling Techniques

Beici Liang, György Fazekas, Andrew McPherson, and Mark Sandler

Proceedings of the International Conference on New Interfaces for Musical Expression

Abstract:

This paper presents the results of a study of piano pedalling techniques on the sustain pedal using a newly designed measurement system named Piano Pedaller. The system is comprised of an optical sensor mounted in the piano pedal bearing block and an embedded platform for recording audio and sensor data. This enables recording the pedalling gesture of real players and the piano sound under normal playing conditions. Using the gesture data collected from the system, the task of classifying these data by pedalling technique was undertaken using a Support Vector Machine (SVM). Results can be visualised in an audio based score following application to show pedalling together with the player's position in the score.

Citation:

Beici Liang, György Fazekas, Andrew McPherson, and Mark Sandler. 2017. Piano Pedaller: A Measurement System for Classification and Visualisation of Piano Pedalling Techniques. Proceedings of the International Conference on New Interfaces for Musical Expression. DOI: 10.5281/zenodo.1176268

BibTeX Entry:

  @inproceedings{bliang2017,
 abstract = {This paper presents the results of a study of piano pedalling techniques on the sustain pedal using a newly designed measurement system named Piano Pedaller. The system is comprised of an optical sensor mounted in the piano pedal bearing block and an embedded platform for recording audio and sensor data.  This enables recording the pedalling gesture of real players and the piano sound under normal playing conditions. Using the gesture data collected from the system, the task of classifying these data by pedalling technique was undertaken using a Support Vector Machine (SVM). Results can be visualised in an audio based score following application to show pedalling together with the player's position in the score.},
 address = {Copenhagen, Denmark},
 author = {Beici Liang and György Fazekas and Andrew McPherson and Mark Sandler},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.5281/zenodo.1176268},
 issn = {2220-4806},
 pages = {325--329},
 publisher = {Aalborg University Copenhagen},
 title = {Piano Pedaller: A Measurement System for Classification and Visualisation of Piano Pedalling Techniques},
 url = {http://www.nime.org/proceedings/2017/nime2017_paper0062.pdf},
 year = {2017}
}