Computer Science Engineering(Cse)

Though the problem is not new but in this paper the problem is seen a whole new different way and then tried to solve it a simplest way.The basic concept is now used but this paper tried to develop this existed idea with a lot of growing problems and challenges. The main concept can be used in many other field with many other aspects .To use this concept in the development of hospital services and it's management like protocols as smart and quick emergency respond system, paperless documentations and smart cabin management system.The main idea behind this paper to develop a robust and stable idea on basis of internet of things.

Automatic speech recognition system is invented a few decade earlier and it improve day by day. In very first it started with 8 word but if we see now it has a huge database with almost 230million word. By this system normally we can able to interact with device through our voice command and can do our desire work easily. The process of speech to text conversion is one of the part of this system and a few model like: HMM (Hidden Markov Model), MFCC(Mel Frequency Cepstral Coefficient) etc. are use and a working procedure done behind step by step for this conversion process. So the main objective is to determine to show the whole process of speech to text conversion which done by automatic speech recognition which will help those people who want to know the whole process and those who have some interest in this field.