DocumentCode
3168627
Title
Following musical sources by example
Author
Smaragdis, Paris ; Mysore, Gautham J.
fYear
2012
fDate
25-30 March 2012
Firstpage
5373
Lastpage
5376
Abstract
In this paper we present a system that is capable of tracking the pitch and volume of a musical source by making use of training data. We show how we can use pitch-tagged training example sounds to construct a model of a target source, and then use that model to track such a source in unseen mixtures. We do so using a regularized decomposition approach that is designed to strive for semantic continuity in its estimates.
Keywords
acoustic signal processing; music; probability; musical sources; pitch-tagged training example sounds; probabilistic nonnegative decomposition; regularized decomposition approach; target source model; training data; Dictionaries; Equations; Mathematical model; Probabilistic logic; Semantics; Training; Training data; Polyphonic transcription; non-negative models;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1520-6149
Print_ISBN
978-1-4673-0045-2
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2012.6289135
Filename
6289135
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