Automatic Pitch Recognition in Printed Square-Note Notation. Vigliensoni, G., Burgoyne, J. A., Hankinson, A., & Fujinaga, I. In Klapuri, A. & Leider, C., editors, Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011, Miami, Florida, USA, October 24-28, 2011, pages 423–428, 2011. University of Miami.
Paper abstract bibtex 15 downloads In this paper we present our research in the development of a pitch-finding system to extract the pitches of neumes–some of the oldest representations of pitch in Western music– from the Liber Usualis, a well-known compendium of plainchant as used in the Roman Catholic church. Considerations regarding the staff position, staff removal, space- and linezones, as well as how we treat specific neume classes and modifiers are covered. This type of notation presents a challenge for traditional optical music recognition (OMR) systems because individual note pitches are indivisible from the larger ligature group that forms the neume. We have created a dataset of correctly-notated transcribed chant for comparing the performance of different variants of our pitch-finding system. The best result showed a recognition rate of 97% tested with more than 2000 neumes.
@inproceedings{Vigliensoni_2011,
abstract = {In this paper we present our research in the development of a pitch-finding system to extract the pitches of neumes–some of the oldest representations of pitch in Western music– from the Liber Usualis, a well-known compendium of plainchant as used in the Roman Catholic church. Considerations regarding the staff position, staff removal, space- and linezones, as well as how we treat specific neume classes and modifiers are covered. This type of notation presents a challenge for traditional optical music recognition (OMR) systems because individual note pitches are indivisible from the larger ligature group that forms the neume. We have created a dataset of correctly-notated transcribed chant for comparing the performance of different variants of our pitch-finding system. The best result showed a recognition rate of 97{\%} tested with more than 2000 neumes.},
author = {Vigliensoni, Gabriel and Burgoyne, John Ashley and Hankinson, Andrew and Fujinaga, Ichiro},
title = {Automatic Pitch Recognition in Printed Square-Note Notation},
url = {http://www.ismir2011.ismir.net/papers/PS3-12.pdf},
pages = {423–428},
publisher = {{University of Miami}},
isbn = {978-0-615-54865-4},
editor = {Klapuri, Anssi and Leider, Colby},
booktitle = {Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011, Miami, Florida, USA, October 24-28, 2011},
year = {2011}
}
Downloads: 15
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