Title :
Following musical sources by example
Author :
Smaragdis, Paris ; Mysore, Gautham J.
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6289135
