24-01-2010, 11:32 PM
Artificial Intelligence for Speech Recognition
Artificial Intelligence (AI) involves two basic ideas 1. studying the thought processes of human beings. 2. representing those processes via machines (computers, robots, etc). Artificial Intelligence 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 oneâ„¢s language. One of the main benefits of speech recognition system is that it lets user do other works simultaneously. A human identity recognition system based on voice analysis could have seamless applications. And the ASR (Automatic Speaker Recognition) is one such system. Automatic Speaker Recognition is a system that can recognize a person based on his/her voice. This is achieved by implementing complex signal processing algorithms that run on a digital computer or a processor. There are several occasions when we want to identify a person from a given group of people even when the person is not present for physical examination. For example, when a person converses on a telephone, all we have is the persons voice for analysis. It then makes sense to develop a recognition system based on voice. Speaker recognition has typically been classified as either a verification or identification task
[attachment=1481]
Artificial Intelligence (AI) involves two basic ideas 1. studying the thought processes of human beings. 2. representing those processes via machines (computers, robots, etc). Artificial Intelligence 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 oneâ„¢s language. One of the main benefits of speech recognition system is that it lets user do other works simultaneously. A human identity recognition system based on voice analysis could have seamless applications. And the ASR (Automatic Speaker Recognition) is one such system. Automatic Speaker Recognition is a system that can recognize a person based on his/her voice. This is achieved by implementing complex signal processing algorithms that run on a digital computer or a processor. There are several occasions when we want to identify a person from a given group of people even when the person is not present for physical examination. For example, when a person converses on a telephone, all we have is the persons voice for analysis. It then makes sense to develop a recognition system based on voice. Speaker recognition has typically been classified as either a verification or identification task
[attachment=1481]
