Speech and Text

The Speech and Text team at CRIM offers various services for data processing and interpretation in fields such as real-time closed-captioning, exploitation of large datasets, multimedia indexing, information protection, audio signal analysis and segmentation, voice biometrics and natural language processing. 

Our expertise

Our team's expertise mainly covers the fields of automated speech recognition, speaker recognition, audio signal processing and  natural language processing (NLP). With all this knowledge, combined with an expertise in probabilistic methods and deep learning, the team is strategically equipped to contribute to scientific advancement and to respond to companies' specific needs. The team has developed numerous ground-breaking algorithms that have been adopted worldwide.

See all expertise

Profile of an expert

Gilles Boulianne
Gilles Boulianne
Team Director

At CRIM since 1998, Gilles Boulianne is interested in transducer-based search techniques aimed at accelerating system operation and/or increasing the size of the vocabulary of the CRIM speech recognition system.

Contact The Speech and Text Team

For any information, please contact
Hans Bherer, Co-director.

514 840-1235, poste 4624

Recent news

  • The Joy of Reading, by De Marque
    18/04/2018

    Before the web existed, we worked a lot in schools and were motivated to offer content in digital form, specifically francophone and Quebecois content, because what existed at the time was mainly in English...

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Upcoming event

  • R-D Seminar - Towards coherent, fluent and context-appropriate Natural Language Generation systems
    24 April 2018 11:00
    CRIM (405, avenue Ogilvy, bureau 101, Montréal)
    A presentation by Jad Kabbara, scholarship student within the Speech and Text team at CRIM, and Ph.D. candidate at the School of Computer Science at McGill University.
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Recent Publications

  • Towards Automatic Feature Extraction for Activity Recognition from Wearable Sensors: A Deep Learning Approach

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  • État des lieux des technologies web

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