Audio analytics

Our team encompasses a set of skills dedicated to the extraction of information from an audio signal. 

An audio recording often contains more than one speaker. The process of diarisation partitions the audio signal into speaker segments, even when speaker are not known beforehand. Keyword detection consists in identifying the presence of certain words within audio recordings, whereas topic detection determines if a given subject has been discussed during a conversation. When the task is to accurately determine the position of each word or phoneme of a recording, we  speak of text/audio synchronization. We have also developed algorithms aimed at detecting a person’s emotions from an audio recording. It then becomes possible, in an automated system, to modify the system’s behavior according to the user’s reaction in order to adequately satisfy his interlocutor.

Related technologies: keyword detection, audio content indexing, emotion detection 

 

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  • Valorisation de la recherche québécoise
    16/09/2020

    Le CRIM salue l’importance que le Ministre Pierre Fitzgibbon accorde à la valorisation de la recherche québécoise et l’ampleur des ressources qu’il y consacrera.

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  • Santé et sécurité du travail 2020 - Événement les Affaires
    23 September 2020 8:30
    Présentation en ligne
    Le CRIM est fier d'être partenaire de la 10e édition de la conférence Santé et sécurité du travail organisée par les Événement Les Affaires. Présentation en ligne.
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Recent Publications

  • An end-to-end approach for the verification problem: learning the right distance

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  • The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software

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