Sign O Speech Automata

نویسندگان

  • Shivani Agarwal
  • Nishika Chaudhary
  • Rishabh Prabhu Srivastava
چکیده

This paper reveals an innovative idea of a two-way system to convert sign language into speech and vice versa, with tools and technology that has characteristics of increasing adaptability to enhance its purpose. This system is constituted of a hand gestures recogniser (for reading and analysing the hand movements), speech recogniser (for recording the spoken words), language translator (for converting the signs of the sign language into an effective words and vice versa), effective data extractor (for reading and searching data from the database with accuracy and optimisation) and an interactive animation module (for playing back the sound or the sign language) MUMBOLA. After years of research and development the accuracy of sign language to speech translation system and its feasibility remains one of the important research challenges. This paper presents an idea of converting the sign language to speech and vice versa covering the main challenges discussed above as well as the challenges including availability, integrity and authentication. Our aim is to bring down the wall between the deaf-mute people and the outside world as “EVERY PERSON LIVING IN THE WORLD HAS THE RIGHT TO LIVE PEACEFULLY, AND NO ONE CAN SNATCH IT FROM THEM, NOT EVEN THEIR HEARING OR SPEAKING IMPAIRMENT.” General Terms Depth Imaging, Hand Gesture Recognition System, Google Wristband, Rings and Bracelets, Electronic Gloves,

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تاریخ انتشار 2016