Audio source separation using multiple deformed references

Nathan Souviraà-Labastie 1 Anaik Olivero 1 Emmanuel Vincent 2 Frédéric Bimbot 1
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 PAROLE - Analysis, perception and recognition of speech
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : This paper deals with audio source separation guided by multiple audio references. We present a general framework where additional audio references for one or more sources of a given mixture are available. Each audio reference is another mixture which is supposed to contain at least one source similar to one of the target sources. Deformations between the sources of interest and their references are modeled in a general manner. A nonnegative matrix co-factorization algorithm is used which allows sharing of information between the considered mixtures. We run our algorithm on music plus voice mixtures with music and/or voice references. Applied on movies and TV series data, our algorithm improves the signal-todistortion ratio (SDR) of the sources with the lowest intensity by 9 to 12 decibels with respect to original mixture.
Type de document :
Communication dans un congrès
Eusipco, Sep 2014, Lisboa, Portugal. 2014
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https://hal.inria.fr/hal-01017571
Contributeur : Nathan Souviraà-Labastie <>
Soumis le : mercredi 2 juillet 2014 - 17:10:40
Dernière modification le : mercredi 16 mai 2018 - 11:24:07
Document(s) archivé(s) le : mardi 13 octobre 2015 - 15:06:11

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souviraa_eusipco14.pdf
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  • HAL Id : hal-01017571, version 1

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Nathan Souviraà-Labastie, Anaik Olivero, Emmanuel Vincent, Frédéric Bimbot. Audio source separation using multiple deformed references. Eusipco, Sep 2014, Lisboa, Portugal. 2014. 〈hal-01017571〉

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