Technologies automated speech recognition approach to finger spelling

Abstract

This paper proposes an Automated Instrumentation system for Speech Recognition (AISR) to provide a two-way communication between deaf and vocal people. This system translates speech signal to American Sign Language. Words that correspond to signs from the American sign language dictionary calls a prerecorded American sign language (ASL) showing the sign that is played on the monitor of a portable computer. If the word does not have a corresponding sign in the sign language dictionary, it is finger spelled. This is done in real life by deaf for words that do not have specific signs like for proper names. Hidden Markov Model (HMM) is used for recognition of speech signal from the user and translated to cue symbols for vocally disabled people. The proposed task is a complementary work to the ongoing research work for recognizing the finger movement of a vocally disabled person, to speech signal called “Boltay Haath”. The proposed AISR system integrated with Boltay Haath system could eliminate the communication gap between the common man and vocally disabled people to extend in both ways