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

  • ICoCSec2019
    26 September 2019 0:00
    Malaisie
    Le CRIM présentera 2 articles lors de l'International Conference on Cybersecurity 2019 (ICoC2019). Organisé par Universiti Sains Islam Malaysia en Malaisie, les 25 et 26 septembre 2019.
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  • ???????????? #Emplois Développeur logiciel sénior - traitement de la parole #IA #technologies https://t.co/0EAy4N5HZX https://t.co/tmzj58XknA
  • #ÉvénementPartenaire : Forum CIRANO-ADRIQ - Françoys Labonté siégera sur un panel autour de la formation et l'accom… https://t.co/QmyYdYO4Eg

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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