About CRIM

Audio content indexing

By creating an index from the spoken content of very large audio databases, we make the content accessible through search engines similar to Google.

In order to accomplish that, we must combine speech recognition with another expertise in indexing and searching, which allows to find the searched terms in spite of recognition errors, pronunciation or spelling variants, and the limited vocabulary of the recognition system.

This expertise has been applied to some projects relating to the cinematographic archives of the National Film Board (NFB) or the collected testimonies of the Bastarache investigative commission.

Related technologies: recognition engine, finite-state transducers.

Teams

Releases

Upcoming event

  • OGC Testbed 13 Demonstration Event
    13 December 2017 8:30
    Reston, Virginie
    CRIM will be at the Open Geospatial Consortium, OGC Testbed 13 Demonstration & Exposition, 12-13 December 2017 at the USGS in Reston, Virginia.
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  • Thank you for supporting innovative initiatives and collaborative work! https://t.co/h2TvLneAbp
  • Découvrez la #startech @technopolys_qc de la semaine → l'entreprise Hospitalis : moteur d’efficacité clinique! https://t.co/pE7TZbmfp0

Recent Publications

  • Projet patrimoine TARV

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  • PeopleBot

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