Abstract

NLP (Natural Language Processing) is a use for process Hu-man Language. It is a combination of language and Artificial Intelligence. This paper is helpful to understand about social neuroscience, Translation, speech to text, NLP levels, challenges and Applications of NLP. Deaf and Dumb people of Gujarat use a Gujarati Language as a speech or sign language, therefore there is a need of translating English to Gujarati to help the people to understand the context of the language.Translation of study findings must be done carefully in order to enable the impact of neuroscientific insights on our everyday lives Deaf and Dumb people use Sign Language for communication, as Normal peopleuses a Speech So This paper includes various sign language and speech recognition module for converting Speech -> text -> sign. It includes Speech recognition API like apiai, assemblyai, google-cloud-speech, pocketsphinx, SpeechRecognition, watson-developer-cloud and wit. It represents the development and testing of speech to text and text to speech mechanism with python code. Translation of study findings must be done carefully in order to enable the impact of neuroscientific insights on our everyday lives. It implements English speech by speech recognition API and translates in a Gujarati text. This paper analyze the Precision, Accuracy and Recall on speech to text Datasets. It gives 96% Precision, 83% Recall and 83% Accuracy.