Sign the Voice: An Embedded Software for Voice to Sign Language Translation
Donna Lyn C. Peleo, Myra M. Patalay, Jesfer M. Dela Cruz, Emmanuel A. Ramirez · 2024
This qualitative research study entitled Sign the Voice: An Embedded Software for Voice to Sign Language Translation aimed to bridge the communication barriers between hearing teachers and auditory-challenged students. This explored the current technologies used in the development of systems for Persons with Disabilities particularly the Deaf Community. This study aimed to develop an embedded software to translate in real-time a human's voice to sign language, making communication accessible between them. The researchers conducted interviews, focus groups, observation, and case studies. This study investigated the design process and usability of embedded software. Software testing and thematic analysis will then be conducted to test its effectiveness. The researchers considered the diverse needs of auditory-challenged students, real-time processing, and the accuracy of the translation to make sure the communication process is effective between hearing teachers and auditory-challenged students. Preliminary findings suggested promising results in terms of user satisfaction, highlighting the potential of the proposed embedded software to provide accessible communication between the hearing teachers and auditory-challenged students. The implications of this study will provide more IT opportunities for these auditory-challenged students, give diversity in the IT industry, and could lead to more opportunities for applied research by developing improved technological solutions. The cultural, societal, and ethical impacts of this proposed system were of high consideration.