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

  • Gala des Prix Innovation 2020 de l'ADRIQ
    19 November 2020 0:00
    Palais des Congrès de Montréal
    Le Gala Prix Innovation 2020 de l'ADRIQ aura lieu le 19 novembre 2020, au Palais des congrès de Montréal.
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  • AIxSPACE RT @AIxSPACE_ca: Registrations are open for AIxSPACE! We're looking forward to meeting you all at the 1st event dedicated to #AI applied to…
  • Vous souhaitez rencontrer des grandes compagnies, chercheurs et startups afin d'avoir une discussion de fond sur la… https://t.co/g6adtJ519H

Recent Publications

  • On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification

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  • An ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers

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