AI for Accessibility: Virtual Assistant for Hearing Impaired
Saket S. Ozarkar, Raj Chetwani, Sugam Devare, Sumeet Haryani, Nupur Giri
Abstract
Speech is one of the essential communication methods for human beings. The present solutions available for people with hearing disabilities are limited due to accessibility and expensive due to the high cost of hardware components. Sound classification methods are primarily used in smart assistants and smart home products. This technology has a lot of potential and can be inculcated in an application-based solution for deaf people. Apart from this, solutions pertaining to Sign Language Recognition are limited in usability and features as most of these products are limited to only the alphabet's recognition, which is real-world usage is inadequate. With the advancement in pose estimation algorithms, a solution can be developed which can recognize words and sentences to improve the efficiency of daily communication.