Marco Liuni — accepted AI-conference papers

2016

A source/filter model with adaptive constraints for NMF-based speech separation

Damien Bouvier, Nicolas Obin, Marco Liuni, Axel Roebel

ICASSP 2016accepted

This paper introduces a constrained source/filter model for semi-supervised speech separation based on non-negative matrix factorization (NMF). The objective is to inform NMF with prior knowledge about speech, providing a physically meaningful speech separation. To do so, a source/filter model (indi…

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2015

On automatic drum transcription using non-negative matrix deconvolution and itakura saito divergence

Axel Roebel, Jordi Pons, Marco Liuni, Mathieu Lagrange

ICASSP 2015accepted

This paper presents an investigation into the detection and classification of drum sounds in polyphonic music and drum loops using non-negative matrix deconvolution (NMD) and the Itakura Saito divergence. The Itakura Saito divergence has recently been proposed as especially appropriate for decomposi…

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