About CRIM

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

Releases

Upcoming event

  • 2019 GeoSemantics Symposium
    19 July 2019 0:00
    Tacoma, États-Unis
    Le CRIM prendra part à l'annuel GeoSemantics Symposium qui se déroulera à Tacoma, États-Unis le 15 juillet 2019.
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  • #AroundTheWorld Jean-François Rajotte @jf_raj , researcher in #datascience, will take part in the Geosemantics Sym… https://t.co/X0xJUWxUiE
  • TechnoMontreal RT @TechnoMontreal: | @StartupFest | ???? C'est parti pour 2 journées de consultation du livre blanc des technologies, retrouvez nos ambassa…

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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