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Monophonic Instrument Sound Segregation By Clustering Nmf Components Based On Basis Similarity And Gain Disjointness
2010
Zenodo
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This research was supported by CrestMuse Project under JST and Grant-in-Aid for Scientific Research (KAKENHI) (A) 20240017. ...
Evaluated Algorithms and Conditions The following algorithms were tested. • Proposed method 1: Components clustering employed both basis vector similarity and gain vector disjointness. ...
However, considering music instrumental source separation, methods based on NMF generally encounter difficulties in the components clustering step. ...
doi:10.5281/zenodo.1417112
fatcat:uu2woe6hyzcrfgtjfu23jvoxnu
Online/offline score informed music signal decomposition: application to minus one
2019
EURASIP Journal on Audio, Speech, and Music Processing
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Then, we proposed a NMF-based signal model where the basis functions for each score unit are represented as a weighted combination of spectral patterns for each note and instrument in the score obtained ...
In this paper, we propose a score-informed source separation framework based on non-negative matrix factorization (NMF) and dynamic time warping (DTW) that suits for both offline and online systems. ...
Acknowledgements This work was supported by the "Ministerio de Economía y Competitividad" of Spain/FEDER under project TEC2018. ...
doi:10.1186/s13636-019-0168-6
fatcat:4g7mms5vu5byxidjobtra4aj6q
Non-Negative Matrix Factorization Based Algorithms to Cluster Frequency Basis Functions for Monaural Sound Source Separation
2013
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CASA systems aim to be able to perform similar functions to accurately characterize and group complex components of sound mixtures into their respective sources, based on the cues such as pitch, onset/ ...
CASA systems aim to computationally implement the rules derived from psychoacoustics to segregate or stream the components of sounds in a similar way as human hearing. ...
doi:10.21427/d7v894
fatcat:2rtg5f5lwnc6rixuaqzquba6ny