Interference reduction on full-length live recordings

Diego Di Carlo 1 Antoine Liutkus 2 Ken Déguernel 3, 4
1 PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio
Inria Rennes – Bretagne Atlantique , IRISA_D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
2 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
3 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Live concert recordings consist in long multitrack audio samples with significant interferences between channels. For audio engineering purposes, it is desirable to attenuate those interferences. Recently, we proposed an algorithm to this end based on Non-negative Matrix Factorization, that iteratively estimate the clean power spectral densities of the sources and the strength of each in each microphone signal, encoded in an interference matrix. Although it behaves well, this method is too demanding computationally for full-length concerts lasting more than one hour. In this paper, we show how random projections of the data can be leveraged for effective estimation of the parameters. Interference reduction with these ideas can be achieved on full-length live multi-track recordings in an acceptable time and could be used by sound engineers. We demonstrate the efficiency of this approach on real full-length live recordings from the Montreux Jazz Festival and also provide an implementation of the method.
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Diego Di Carlo, Antoine Liutkus, Ken Déguernel. Interference reduction on full-length live recordings. ICASSP 2018 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2018, Calgary, Canada. pp.736-740, ⟨10.1109/ICASSP.2018.8462621⟩. ⟨hal-01713889⟩

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