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

  • Assemblée générale des membres du CRIM - 18 juin 2020
    18 June 2020 0:00
    CRIM (405, avenue Ogilvy, bureau 101, Montréal)
    Les membres du CRIM sont convoqués à l'Assemblée générale annuelle qui se tiendra le 18 juin 2020. Ne manquez pas cette importante réunion et l'occasion de vous tenir au fait de plusieurs dossiers qui vous concernent.
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  • Prompt RT @Prompt_Innov: [ WEXPERT ?La Ville intelligente Nos intervenants : Philippe Beaudoin, co-fondateur d’ @element_ai Stéphane Barbier, di…
  • CEIM RT @CEIM_Qc: Bonne nouvelle! Le gala de l' @ADRIQ_RCTi aura bien lieu, que ce soit en présentiel ou en virtuel! Ne passez pas à côté de cet…

Recent Publications

  • An ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers

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  • Generalized End-to-End Detection of Spoofing Attacks to Automatic Speaker Recognizers

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