The MODIS software for word like motif discovery and its use for zero resource audio summarization

Nathan Souviraà-Labastie 1 Laurence Catanese 1 Guillaume Gravier 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 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : MODIS is a free 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. In the case of speech, those motifs could be word since MODIS is tolerant 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. It may therefore find many uses, such as summarization of large databases.
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Nathan Souviraà-Labastie, Laurence Catanese, Guillaume Gravier, Frédéric Bimbot. The MODIS software for word like motif discovery and its use for zero resource audio summarization. [Technical Report] RT-0439, INRIA. 2013. ⟨hal-00848631v2⟩

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