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The goal of this paper is to present a system that automatically extracts metadata from polyphonic audio signals. This metadata is related to the tonal content of music. It can be used to characterize the tonal space of a piece, understood as the relationships between pitches, chords and keys, in accordance with the principles and procedures of tonality. These features are relevant in the context of music similarity and content search, retrieval and navigation across digital music collections.
Author (s): Herrera, Perfecto;
Affiliation:
Universitat Pompeu Fabra, Barcelona, Spain
(See document for exact affiliation information.)
Publication Date:
2004-06-06
Session subject:
Metadata for Audio
DOI:
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Herrera, Perfecto; 2004; Automatic Extraction of Tonal Metadata from Polyphonic Audio Recordings [PDF]; Universitat Pompeu Fabra, Barcelona, Spain; Paper 2-3; Available from: https://aes.org/publications/elibrary-page/?id=12805
Herrera, Perfecto; Automatic Extraction of Tonal Metadata from Polyphonic Audio Recordings [PDF]; Universitat Pompeu Fabra, Barcelona, Spain; Paper 2-3; 2004 Available: https://aes.org/publications/elibrary-page/?id=12805
@inproceedings{Herrera2004automatic,
title={{Automatic Extraction of Tonal Metadata from Polyphonic Audio Recordings}},
author={Herrera, Perfecto},
year={2004},
month={jun},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 2-3; AES Conference: 25th International Conference: Metadata for Audio; June 2004},
number={2-3},
organization={AES},
}
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