5 papers · 1 filter
Spectral Visibility Graphs: Application to Similarity of Harmonic Signals
Delia Fano Yela, Dan Stowell, Mark Sandler
Graph theory is emerging as a new source of tools for time series analysis. One promising method is to transform a signal into its visibility graph, a representation which captures…
Does k Matter? k-NN Hubness Analysis for Kernel Additive Modelling Vocal Separation
Delia Fano Yela, Dan Stowell, Mark Sandler
Kernel Additive Modelling (KAM) is a framework for source separation aiming to explicitly model inherent properties of sound sources to help with their identification and separatio…
Shift-Invariant Kernel Additive Modelling for Audio Source Separation
Delia Fano Yela, Sebastian Ewert, Ken O'Hanlon +1
A major goal in blind source separation to identify and separate sources is to model their inherent characteristics. While most state-of-the-art approaches are supervised methods t…
On the Importance of Temporal Context in Proximity Kernels: A Vocal Separation Case Study
Delia Fano Yela, Sebastian Ewert, Derry FitzGerald +1
Musical source separation methods exploit source-specific spectral characteristics to facilitate the decomposition process. Kernel Additive Modelling (KAM) models a source applying…
Interference Reduction in Music Recordings Combining Kernel Additive Modelling and Non-Negative Matrix Factorization
Delia Fano Yela, Sebastian Ewert, Derry FitzGerald +1
In live and studio recordings unexpected sound events often lead to interferences in the signal. For non-stationary interferences, sound source separation techniques can be used to…