Graph theory for the discovery of non-parametric audio objects

Abstract

A novel framework based on graph theory for structure discovery is applied to audio to find new types of audio objects which enable the compression of an input signal. It converts the sparse time-frequency representation of an audio signal into a graph by representing each data point as a vertex and the relationship between two vertices as an edge. Each… (More)
DOI: 10.1109/ISSPA.2012.6310498
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