We are very pleased to announce that the University of Toronto has joined the Liberated Learning Consortium as its newest partner in the effort to increase access to information through the advancement of speech recognition (SR) technologies.
The Liberated Learning Consortium was founded to research and develop two interrelated applications: (1) using speech recognition technology to automatically caption spoken language and display it as readable text in educational environments; (2) using speech recognition to produce and disseminate accessible, multimedia transcripts. The Consortium’s ultimate goal is for speech recognition based captioning and transcription of educational media to become a standard for supporting diverse learning needs in learning environments. The Consortium strives to make these approaches widely available to improve access to information for persons with disabilities.
A number of organizations within UofT will come together to lead this new partnership. Accessibility Services, the Centre for Teaching Support & Innovation, Information + Technology Services, the Office of the Chief Information Officer, and the Office of Space Management will work collaboratively to evaluate the impact Liberated Learning concepts and systems have on students, faculty and university stakeholders. This group will also look at developing transferable models for successfully implementing speech recognition and related accessibility solutions in various learning environments.
The University of Toronto’s goal is to not only evaluate the impact SR technology has in a classroom environment but to evaluate the impact these technologies have on teaching and learning outcomes. Given its sheer size the university will provide consortium partners access to its large student population and large class sizes. This will enable Liberated Learning to continue its goal of fostering an environment where speech recognition based captioning and transcription of educational media becomes a regular fixture for supporting various learning needs in an educational setting.
If you are interested in SR technologies for teaching and learning, please let us know. Thanks.