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

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Recent news

  • CRIM is part of one of the world's top 100 R&D projects of 2017!
    12/12/2017

    The ESGF initiative was recently selected as one of the top 100 R&D projects of 2017 by the R&D 100 Awards. ESGF (Earth System Grid Federation) is a concerted development effort in climate and Earth System science that brings together several major...

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Upcoming event

  • OGC Testbed 13 Demonstration Event
    13 December 2017 8:30
    Reston, Virginie
    CRIM will be at the Open Geospatial Consortium, OGC Testbed 13 Demonstration & Exposition, 12-13 December 2017 at the USGS in Reston, Virginia.
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Recent Publications

  • Projet patrimoine TARV

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  • PeopleBot

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