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

  • Assemblée générale annuelle du CRIM
    15/06/2017

    Lors de son assemblée générale annuelle qui a eu lieu le 14 juin, le CRIM a annoncé la composition de son conseil d'administration, en plus de dévoiler son rapport d'activités et de présenter les grandes lignes de son nouveau plan stratégique.

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Upcoming event

  • Canadian OGC Summit
    30 June 2017 0:00
    Sheraton Hotel Newfoundland
    The next Open Geospatial Consortium meetings will be held in St. John’s, Newfoundland and Labrador, from June 26-30th, 2017.
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Recent Publications

  • PeopleBot

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  • Numérisation 3D temps réel de pièces avec l'API Google Tango et comparatif au LIDAR

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