An Automatic Assessment of Multilingual Recognition with GUI

International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue XII, December 2018 | ISSN 2321–2705

An Automatic Assessment of Multilingual Recognition with GUI

Saranya.K#, Rajasekar.S.S*

#,* Assistant Professor/CSE/Bannari Amman Institute of Technology, Tamil Nadu, India

Abstract— A great deal of negotiations throughout the past few years regarding the possibility of Text-to-Speech machines synthesize natural synthetic speech from texts. In the present paper, a Text-to-Speech synthesizer is developed that converts text into spoken word, by analyzing and processing it using google Text-To-Speech (gTTS) technology to convert this processed text into synthesized speech representation of the text. Similarly, Voice-to-Text synthesizer is developed that converts spoken words into text, by analyzing and processing it using speech_recognition as sr. This work is fully developed in Python language which is currently demanded in market using Python GUI Tkinter. This project increases the work opportunities for the physically challenged people and has increased their economy status.

Keywords—google Text-To-Speech technology, speech_ recognition, GUI Tkinter.


An automated billing machine for deaf and dumb is enforced with few ideas of machine learning with Python programming tool. Python enables to work quicker and integrates the systems additional expeditiously. It uses English keywords whereas different languages use punctuations and has fewer grammar constructions than different languages. Python is a processor at run time by the interpreter.

The program execution is preferably done only before the compilation. Speech Recognition is the procedure of extracting essential information from input speech signal to make accurate decision about the corresponding text. Text to speech is the automatic conversion which configures the concept of speech recognition, speech analysis, speech synthesis, speech tuning, speech alteration etc. This concept can be implemented through Python.

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