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 

 

Teams

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Recent news

  • Computer Research Institute of Montreal announces new patent
    18/04/2017

    We are happy to announce one new patent granted for the work of our Vision and Imaging team.

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Upcoming event

  • Forum Stratégie Innovation 2017
    27 April 2017 0:00
    Château Royal à Laval
    Le CRIM participera à l'édition 2017 du Forum Stratégie Innovation aura lieu le 27 avril 2017 au Château Royal à Laval.
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Recent Publications

  • PeopleBot

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  • Détection de menaces par classification de paquets de pare-feu

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