Video content is synchronized with sign language videos, allowing deaf users to consume content in their preferred language.
Automated system for caption accuracy, using natural language processing to identify and suggest corrections for caption errors.
Currently under development, these features will use haptic devices and Braille displays to make media accessible to deafblind users.
Designed for ease of use, allowing content creators to upload and manage videos and captions with minimal technical knowledge.
Provide sign language videos and accurate captions for media content.
Use an NLP-driven system to identify errors and suggest corrections for a seamless viewing experience.
Research and implement new technologies for deafblind accessibility, including Braille and haptic feedback devices.
Develop a system that supports high volumes of pre-recorded media and allows content creators to manage media without technical expertise.
Ensuring accurate, synchronized sign language videos with pre-recorded content.
Developing a robust captioning system to detect and correct errors.
Researching solutions for media access through Braille and tactile feedback.
Collaborated with sign language interpreters and accessibility experts to create a seamless integration of sign language videos for media content.
Developed an NLP-powered system to scan captions for errors, inconsistencies, and timing issues, providing real-time correction suggestions.
Partnered with accessibility specialists to explore solutions for haptic devices and Braille displays, aiming to make media content accessible for deafblind users.
Built an intuitive platform for content creators to upload videos and manage captions easily.
Sign language integration enables deaf users to experience media content in their preferred language.
Caption error detection improved caption accuracy by 40%, reducing errors and enhancing the viewing experience for hard-of-hearing users.
Terp2Go’s research efforts place it at the forefront of media accessibility, pioneering solutions for deafblind audiences.