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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Recent news

  • GeoImageNet: artificial intelligence applied to satellite images!
    29/04/2019

    CRIM is proud to be part of an innovative project that will support the work of Canadian geospatial researchers to accelerate innovation in this leading-edge sector.

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Upcoming event

  • Canadian Research Software Conference 2019
    29 May 2019 8:00
    Montréal
    Several CRIM experts will be present at this Symposium which will take place in Montreal on May 28 and 29, 2019
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Recent Publications

  • Forage de données géospatiales, quelques applications

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  • Des technologies perturbatrices pour de futures applications du bâtiment intelligent utilisant AI

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