Online score‐informed source separation in polyphonic mixtures using instrument spectral patterns | Zendy

MuñozMontoro A. J. | Zendy; VeraCandeas P. | Zendy; Cortina R. | Zendy; Combarro E. F. | Zendy; AlonsoJordá P. | Zendy

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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) - source separation , non negative matrix factorization , computer science , polyphony , speech recognition , midi , sound quality , matrix decomposition , artificial intelligence , acoustics , physics , eigenvalues and eigenvectors , quantum mechanics , operating system

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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