Pattern recognition algorithms for polyphonic music transcription

Antonio Pertusa, José M. Iñesta

2004

Abstract

The main area of work in computer music related to information systems is known as music information retrieval (MIR). Databases containing musical information can be classified into two main groups: those containing audio data (digitized music) and those that file symbolic data (digital music scores). The latter are much more abstract that the former ones and contain a lot of information already coded in terms of musical symbols, thus MIR algorithms are easier and more efficient when dealing with symbolic databases. The automatic extraction of the notes in a digital musical signal (automatic music transcription) permits applying symbolic processing algorithms to audio data. In this work we analize the performance of a neural approach and a well known non parametric algorithm, like nearest neighbours, when dealing with this problem using spectral pattern identification.

References

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Paper Citation


in Harvard Style

Pertusa A. and M. Iñesta J. (2004). Pattern recognition algorithms for polyphonic music transcription.In Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004) ISBN 972-8865-01-5, pages 80-89. DOI: 10.5220/0002681000800089


in Bibtex Style

@conference{pris04,
author={Antonio Pertusa and José M. Iñesta},
title={Pattern recognition algorithms for polyphonic music transcription},
booktitle={Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)},
year={2004},
pages={80-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002681000800089},
isbn={972-8865-01-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2004)
TI - Pattern recognition algorithms for polyphonic music transcription
SN - 972-8865-01-5
AU - Pertusa A.
AU - M. Iñesta J.
PY - 2004
SP - 80
EP - 89
DO - 10.5220/0002681000800089