Sparse pursuit and dictionary learning for blind source separation in polyphonic music recordings

Sparse pursuit and dictionary learning for blind source separation in polyphonic music recordings

Abstract We propose an algorithm for the blind separation of single-channel audio signals. It is based on a parametric model that describes the spectral properties of the sounds of musical instruments independently of pitch. We develop a novel sparse pursuit algorithm that can match the discrete fre...

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Bibliographic Details
Main Authors: Sören Schulze, Emily J. King
Format: Article
Language:English
Published: SpringerOpen 2021-01-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Blind source separation
Unsupervised learning
Dictionary learning
Pitch-invariance
Pattern matching
Sparsity
Online Access:https://doi.org/10.1186/s13636-020-00190-4

Internet

https://doi.org/10.1186/s13636-020-00190-4

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