Speech recognition technology is one from the fast growing engineering technologies. It has a number of application in different areas and provides potential benefits. Nearly 20% people of the world are suffering from various disabilities; many of them are blind or unable to use their hands effectively. The speech recognition systems in those particular cases provide a significant help to them, so that they can share information with people by operating computer through voice input. This project is designed and developed keeping that factor into mind, and a little effort to achieve this aim. Our project is capable to recognize the speech and convert into text.
Speech recognition is the process that recognizes all words being said by humans and to convert this speech into text and to analyse this texxt to produce the results required by the humans. The performance of this system majorly depends upon number of factors such as the speed of the spoken words by the user,vocabularies and the background noise caused by the environment .The speech recognition library of the package provided by the pypi library can be helpful in reducing various factors such as background noise which then makes the speech good for processing and the performing the tasks provided to this system such as words recognition ,web searches .
Basically it means that how the words are been spoken as in connected or in isolated. In Isolated word of speech Recognition System needs that speaker take pause between the words he speak. It means single kind word In connected word of speech recognition system did not need that the speaker take pause briefly in between the words. It generally means full length sentences in which words are then artificially keep away by silence.
Generally it Includes whether that the speech is in continuous form of spontaneous form. Continuous form is that spoken in natural form. Systems are to evaluated on speech read from the scripts that are prepared where as in spontaneous or extemporaneously generated, speech does not contain fluencies, and it is also difficult to figure out that speech read from the written script. It is also vastly much more hard as it tends to be peppered with unfluency like “uuh” and “uum”, no full sentaces, spluttering , stuttering, sneezing , cough, and also vocabulary is essentially ulimited, So there must be training to system to be able to tackle with unknown and hidden words.
IT is much simple to discriminate a smaller set of the words, but rate of error incareses as the size of the vocabulary increases. For ex: 10 digits start from 0 -9 can easily be recognised rightly on the other side vocabulary whose size is 100 , 4000 or 15000 have the rate of error as 3%, 6%, 40% . The vocabulary is hard to predict or recognize if it contains Confused kind of words.
This is kind of 2 ways 1)Speaker Dependent 2) speaker independent In speaker dependent the user must be providing various samples of her or his speech before they’re used, a speaker dependent system is meant for use of only single kind speaker , where as speaker independent system is allowed or intended to use any type or kind of speaker.
The project of speech recognition gives us the introduction of this technology and its various application in different sectors. The project is divided into three parts ,the first which helps in converting audio to text ,the second which recognises the spoken word and the third which performs the operations provided as the command by the user.After the development of these parts these models were tested and the results were produced which tells about the accuracy of each model.Various advantages and disadvantages of this software is discussed.