Abstract
Speech communication is the central interaction between the humans for the procreation and survival. Recently, researchers coordinated toward the advancement of robotized and clever investigation of human expressions. With expanded enthusiasm of human-PC/human–human connections, speech to sign language is an important another research direction. In this paper, we study the speech word to the sign image conversion. Since speech is inconsistent and noisy, fuzzy concept is introduced. The neuro fuzzy classifier is used to increase the classification rate with scaled conjugate gradient.
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Narshetty, P., Vani, H.Y. (2021). Speech to Sign Language Conversion Using Neuro Fuzzy Classifier. In: Sabut, S.K., Ray, A.K., Pati, B., Acharya, U.R. (eds) Proceedings of International Conference on Communication, Circuits, and Systems. Lecture Notes in Electrical Engineering, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-33-4866-0_19
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DOI: https://doi.org/10.1007/978-981-33-4866-0_19
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