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Online score‐informed source separation in polyphonic mixtures using instrument spectral patterns
Author(s) -
MuñozMontoro A. J.,
VeraCandeas P.,
Cortina R.,
Combarro E. F.,
AlonsoJordá P.
Publication year - 2019
Publication title -
computational and mathematical methods
Language(s) - English
Resource type - Journals
ISSN - 2577-7408
DOI - 10.1002/cmm4.1040
Subject(s) - polyphony , separation (statistics) , source separation , computer science , artificial intelligence , mathematics , statistics , acoustics , physics
Soundprism is a real‐time algorithm to separate polyphonic music audio into source signals, given the musical score of the audio in advance. This paper presents a framework for a Soundprism implementation. A study of the sound quality of the online score‐informed source separation is shown, although a real‐time implementation is not carried out. The system is compound of two stages: (1) a score follower that matches a MIDI score position to each time frame of the musical performance; and (2) a source separator based on a nonnegative matrix factorization approach guided by the score. Real audio mixtures composed of an instrumental quartets were employed to obtain preliminary results of the proposed system.

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