We propose a method for estimating the spectral envelope pattern of musical instruments in an musical scene-adaptive scheme, without having any prior knowledge about the real transcription. A musical note is defined as stable when variations between its harmonic amplitudes are held constant during a certain period of time. A density-based clustering algorithm is used with the stable notes in order to separate different envelope models for each note. Music scene-adaptive envelope patterns are finally obtained from similarity and continuity of the different note models. Our approach has been tested in a polyphonic music transcription scheme with synthesized and real music recordings, obtaining very promising results.

Authors: Carabias-Orti, Julio J.; Vera-Candeas, Pedro; Ruiz-Reyes, Nicolás; Cañadas-Quesada, Francisco J.; Cabañas-Molero, Pablo
Affiliation: University of Jaén, Linares, Spain
AES Convention: 126 (May 2009) Paper Number: 7819
Publication Date: May 1, 2009 Import into BibTeX
Subject: Signal Analysis, Measurements, Restoration
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=15015

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