There is a communication gap between users of sign language and the use of verbal language in the majority of society. As a result, users of sign language have less accessibility to common communication forms such as news, information channels, literature, television and radio. These circumstances heavily restrict the individuals’ opportunities to be immersed in society and culture, often leading to social isolation, exclusion and loss of opportunity.
In order to bridge this communication gap, the entrepreneurs are working on DITA, the Deep Immersive Transcription Adapter, a software package that translates verbal language from any audio-, text-, or image file into sign language. DITA builds upon recent advancements in the field of Natural language processing, machine learning and animation technology. By improving and creating access to information, education, and entertainment, users of sign language face less barriers to participate on cultural and social platforms. This will provide the individual with more control in their life situation, and an improved quality of life.
In the long term, the DITA project hopes to create a more socially sustainable society. They hope that DITA will dismantle the high threshold for people with hearing disabilities to participate in educational platforms and the workforce. The normalization of a product of DITAs nature will help to build more awareness surrounding the inclusion of sign language users and improve perspectives on disability as a social problem and not only a problem of the individual. As such, DITA will contribute to a better life for some, but improving a sense of community and dismantling incorrect attitudes towards disability for all. DITA has the potential to significantly reduce the tension in democratic and linguistic human rights currently transpiring globally.
Imran Avci, from the Department of Physics and Astronomy at Vrije Universiteit Amsterdam, has secured the NOW Demonstrator grant for a project titled SOHO: A New Approach for Ultra-Precise, Fast, and Sensitive Photonic Microchip Measurements. The innovation in this field is expected to lead to breakthroughs in quantum computing, neuromorphic processors, wearable sensors, Lidar systems, […]
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NewsLongform.ai BV, a spin-off from the University of Amsterdam (UvA) and based in Amsterdam, has secured €300,000 in funding from Innovatiefonds Noord-Holland. In addition, the company has benefited from extensive mentorship provided by the TTT-AI program, accelerating both its research and commercialization efforts. Longform.ai is building a cutting-edge platform that leverages generative AI to extract […]
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