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Delia Fano Yela

2 accepted papers

2018

Shift-Invariant Kernel Additive Modelling for Audio Source Separation

ICASSP 2018accepted

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 trained on large datasets, interest in non-data-driven approaches such as Kernel Additive Modelling (KAM) remains high du…

Cited by 0SourceScholar
2017

Interference reduction in music recordings combining Kernel Additive Modelling and Non-Negative Matrix Factorization

ICASSP 2017accepted

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 reduce the interference level in the recording. In this context, we present a novel approach combining the strengths of…

Cited by 0SourceScholar