![Figure 1: Speech Recognition System [8] The main motive of speech recognition is WHO is speaking and WHAT was spoken. It is used to identify a person by analyzing its tone, voice pitch and many more parameter.[8] Voice recognition was developed as a faster method of typing up work and was originally designed with people who suffer from various disabilities in mind as well as people who suffer with physical difficulties can find typing tedious, painful or even impossible and this give them the chance to still do in the manner of speaking. Voice recognition software allows you to dictate to your computer. When you will give the instruction through this software on that moment all the instruction will be appeared on the screen. It is so advanced that it can predict what you want to say, so that it can correct error of mis-speech or grammatical errors for you.](https://www.researchgate.net/profile/Sachin-Sharma-7/publication/343934770/figure/fig1/AS:929458789830656@1598611652151/Speech-Recognition-System-8-The-main-motive-of-speech-recognition-is-WHO-is-speaking_Q320.jpg)
![Figure:3 Speech recognition using NLP[11]](https://www.researchgate.net/profile/Sachin-Sharma-7/publication/343934770/figure/fig2/AS:929458789818368@1598611652206/Figure3-Speech-recognition-using-NLP11_Q320.jpg)
July 2020
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9,676 Reads
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10 Citations
International Journal of Future Generation Communication and Networking
Speech recognition system play an essential role in every human being life. It is a software that allows the user to interact with their mobile phones through speech. Speech recognition software splitting down the audio of a speech into various sound waves forms, analyzing each sound form, using various algorithms to find the most appropriate word fit in that language and transcribing those sounds into text. This paper will illustrate the popular existing system namely SIRI, CORTANA, GOOGLE ASSISTANT, ALEXA, BIXBY. Apart from that, this paper also analysis the concept of NLP (Natural processing) with speech recognition. In addition to this, our main function is to find out the most accurate technique of speech recognition so that we can achieve the best results. Comparative analysis will indicate the difference and demerit points of various speech recognition.