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

  • 2016-2017 Annual report
    28/06/2017

    Our annual report is available. You will find the highlights of the year.

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Upcoming event

  • Prix Innovation 2017 de l'ADRIQ - Période de mise en candidature
    8 September 2017 0:00
    Le CRIM est heureux d'être partenaire des Prix Innovation 2017 de l'ADRIQ et de contribuer ainsi au rayonnement et à la reconnaissance des innovations technologiques. Période de mise en candidature prolongée jusqu'au 8 septembre 2017.
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Recent Publications

  • PeopleBot

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  • Toward testing from finite state machines with symbolic inputs and outputs

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