Automatic Music Transcription: Breaking the Glass Ceiling

Benetos, E., Dixon, S., Giannoulis, D., Kirchhoff, H. & Klapuri, A. (2012). Automatic Music Transcription: Breaking the Glass Ceiling. Paper presented at the 13th International Society for Music Information Retrieval Conference (ISMIR 2012), 8 - 12 Oct 2012, Porto, Portugal.

[img]
Preview
PDF
Download (304kB) | Preview

Abstract

Automatic music transcription is considered by many to be the Holy Grail in the field of music signal analysis. However, the performance of transcription systems is still significantly below that of a human expert, and accuracies reported in recent years seem to have reached a limit, although the field is still very active. In this paper we analyse limitations of current methods and identify promising directions for future research. Current transcription methods use general purpose models which are unable to capture the rich diversity found in music signals. In order to overcome the limited performance of transcription systems, algorithms have to be tailored to specific use-cases. Semi-automatic approaches are another way of achieving a more reliable transcription. Also, the wealth of musical scores and corresponding audio data now available are a rich potential source of training data, via forced alignment of audio to scores, but large scale utilisation of such data has yet to be attempted. Other promising approaches include the integration of information across different methods and musical aspects.

Item Type: Conference or Workshop Item (Paper)
Subjects: M Music and Books on Music > M Music
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Informatics > Department of Computing
URI: http://openaccess.city.ac.uk/id/eprint/2093

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics