MODIS: an audio motif discovery software

Laurence Catanese 1 Nathan Souviraà-Labastie 1 Bingqing Qu 2 Sébastien Campion 2 Guillaume Gravier 2 Emmanuel Vincent 3 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 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
3 PAROLE - Analysis, perception and recognition of speech
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : MODIS is a free speech and audio motif discovery software developed at IRISA Rennes. Motif discovery is the task of discovering and collecting occurrences of repeating patterns in the absence of prior knowledge, or training material. MODIS is based on a generic approach to mine repeating audio sequences, with tolerance to motif variability. The algorithm implementation allows to process large audio streams at a reasonable speed where motif discovery often requires huge amount of time.
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Laurence Catanese, Nathan Souviraà-Labastie, Bingqing Qu, Sébastien Campion, Guillaume Gravier, et al.. MODIS: an audio motif discovery software. Show & Tell - Interspeech 2013, Aug 2013, Lyon, France. 2013. ⟨hal-00931227⟩

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