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

Industries

Recent news

  • CRIM and cloud.ca propel VESTA into the cloud
    21/03/2017

    CRIM is pleased to announce the renewal of its partnership with cloud.ca, Canada’s cloud Infrastructure as a Service (IaaS) developed by CloudOps. This partnership allows CRIM to make the demo version of VESTA available to the public.

    +

Upcoming event

  • Colloque Santé numérique 2017
    25 March 2017 9:00
    Pavillon Claire-McNicoll de l'Université de Montréal
    Le CRIM participera à cette conférence qui se tiendra le 25 mars 2017 à l'Université de Montréal.
    +

Recent Publications

  • PeopleBot

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

    +