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

  • CRIM's 2018 Annual General Meeting - June 20th, 2018
    20 June 2018 0:00
    CRIM (405, avenue Ogilvy, bureau 101, Montréal)
    CRIM members are invited to Annual General Meeting which will be held on June 18, 2018.
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  • Infolettre de juin 2018 - Voici les dernières nouvelles du CRIM, ses membres et partenaires https://t.co/e4pU6hMa4j https://t.co/YSVe1z1SNB
  • technopolys RT @technopolys_qc: Gestion de réunions : le CRIM et Luffa deviennent partenaires https://t.co/zkpnadMXGv

Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • État des lieux des technologies web

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