Artificial Intelligence for Speech Recognition

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ARTIFICIAL INTELLIGENCE FOR SPEECH RECOGNITION
THE FUTURE OF HUMAN EVOLUTION

ABSTRACT: When you dial the telephone number of a big company, you are likely to hear the sonorous voice of a cultured lady who responds to your call with great courtesy saying “welcome to company X. Please give me the extension number you want” .You pronounces the extension number, your name, and the name of the person you want to contact. If the called person accepts the call, the connection is given quickly. This is artificial intelligence where an automatic call-handling system is used without employing any telephone operator. Artificial Intelligence (AI) involves two basic ideas. First, it involves studying the thought processes of human beings. Second, it deals with representing those processes via machines (computers, robots, etc).AI is the behavior of a machine, which, if performed by a human being, would be called intelligent. It makes machines smarter and more useful, is less expensive than natural intelligence. Natural Language Processing (NLP) refers to Artificial Intelligence methods of Communicating with a computer in a natural language like English. The main objective of a NLP program is to understand input and initiate action. The input words are scanned and matched against internally stored known words. Identification of a keyword causes some action to be taken. In this way, one can communicate with computer in one’s language. One of the main application of AI is speech recognition system is that it lets user do other works simultaneously. The speech recognition process is performed by a software component known as the speech recognition engine. A speech recognition system is a type of software that allows the user to have their spoken words converted into written text in a computer application such as a word processor or spreadsheet. The computer can also be controlled by the use of spoken commands. As we can’t design electronic device which recognizes everyone’s voice, based on that it is divided into speaker dependency and speaker independency. The working of the system involves ADC, comparison of this binary version with the stored words. The limitations for this are: must be completely trained by the user, most successful for those competent in the art of dictation. It is applicable in blue eyes technology, telephone applications like travel booking, financial account information, in military for controlling of weapons. By considering all the above factors it differs from other technologies as it produce written text from the user’s dictation, without using, or with only minimal use of, a traditional keyboard and mouse. This is an obvious benefit to many people who, for any number of reasons, do not find it easy to use a keyboard, or whose spelling and literacy skills would benefit from seeing occur. Speech recognition will revolutionize the way people conduct business over the Web and will, ultimately, differentiate world-class ebusinesses the Web, decreases fatigue and created its own path across various fields.

INTRODUCTION: Evidence of Artificial Intelligence folklore can be traced back to ancient Egypt, but with the development of the electronic computer in 1941, the technology finally became available to create machine intelligence. The term artificial intelligence was first coined in 1956, at the Dartmouth conference, and since then Artificial Intelligence has expanded because of the theories and principles developed by its dedicated researchers. Artificial intelligence, also known as machine intelligence, is defined as intelligence exhibited by anything manufactured (i.e. artificial) by humans or other sentient beings or systems (should such things ever exist on Earth or elsewhere). With the popularity of the AI computer growing, the interest of the public has also grown. Applications for the Apple Macintosh and IBM compatible computer, such as voice and character recognition have become available. Also AI...
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