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AUTOMATED SPEECH SYNTHESIZER AND CONVERTER IN CUE SYMBOL GENERATION FOR HEARING IMPARDS

For the interaction of normally speaking personals with hearing impards the communication gap leads to a non-interactive medium for the two communicator. To develop a communication approach in this paper we propose a medium for the conversion of speech signal to visual cue symbols by automatically synthesizing the given speech signal and mapping to cue symbols for visual representation. The developed system is focused with the objective of reducing the communication gap between normal people and vocally disabled. Humans know each other by conveying their ideas, thoughts, and experiences to the people around them. There are numerous ways to achieve this and the best one among the rest is the gift of "Speech". Through speech everyone can very convincingly transfer their thoughts and Understand each other. It will be injustice if we ignore those who are deprived of this invaluable gift. The only means of communication available to the vocally disabled is the use of "Sign Language". Using sign language they are limited to their own world. This limitation prevents them from interacting with the outer world to share their feelings, creative ideas and Potentials. Very few people who are not themselves deaf ever learn to Sign language. These limitation increases the isolation of deaf and dumb people from the common society. Technology is one way to remove this hindrance and benefit these people. Several researchers have explored these possibilities and have successfully achieved finger spelling recognition with high levels of accuracy. But progress in the recognition of sign language, as a whole has various limitations in today's applications.