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The Computational Linguistics and Speech Processing (CLaSP) lab at RIT is dedicated to advancing applied and theoretical research involving text, speech, dialogue, and multimodal data.

An area of focus is linguistic and multimodal sensing. CLaSP provides research opportunities for graduate (PhD and MS) and undergraduate students, and hosts a regular student research discussant series. The lab collaborates closely with other research groups on campus. Recently graduated former students have gone on to jobs in AI, software and user interface development, game development, human factors, etc. including employers such as EyeGaze Inc, ISI, Amazon, Digital Ocean, Apple, SpaceX, Qualcomm, Cogent Labs (Japan), UL-Wiklund, Athena Health, Commonwealth Care Aliance, Nordstrom Technologies, Facebook, Kensho, Constant Contact, Knewton, Kodak Alaris, Microsoft, IBM, Thompson Reuters, Smartvid, Interactive Brokers, and Pronology.

For more information, please contact Dr. Alm (cecilia.o.alm@rit.edu). Location: LBR-A220.

Professor Alm speaking with several students in a lab.
From left to right: Fatima Umar, Cissi Ovesdotter Alm, Alex Hedges, and Liz Lucas.

News

  • September 23, 2022

    student wearing a virtual reality headset.

    AI summit brings together an exciting range of research underway

    Applications being developed at RIT using artificial intelligence vary from sophisticated medical monitoring devices to the development of autonomous systems for Indy racecars. These represent some of the exciting and complex work underway at the university that will be featured prominently at the AI@RIT Summit: Discovering and Harnessing the Breadth and Depth of Artificial Intelligence at RIT.

  • January 31, 2022

    student wearing sensors on her head adjusts a robotic arm.

    AI research collaboration begins

    Cecilia Alm, an associate professor in RIT’s College of Liberal Arts, was awarded nearly $2 million by the National Science Foundation to lead a team of RIT faculty addressing a lack of diversity in the artificial intelligence research community and gaps in AI curricula.