Speech is the common basic means by which we communicate with each other. The development of voice biometrics has emerged to allow a user to enter their voice into a computer system. It is a growing technology that keeps computers secure. A voice recognition system is designed to help the user complete what that person wants to say rather than letting them transcribe it. The first step in speech recognition is to train the user and produce a real speech sample. Through this process, sounds, words or sentences are converted into electrical signals and then transformed into a coding process by the system. The goal of speech recognition is to understand the spoken human voice. Voice recognition has a long history that began in the toy industry. The first toy to respond to voice commands with voice recognition was called Radio Rex. It was created by Elmwood Button Company in 1922. Early voice recognition systems could only understand numbers due to the different types of human language. Bell Laboratories designed the “Audrey” system in 1952, which recognized numbers spoken by a single voice. Years later, the IBM company presented its “Shoebox” machine in 1962. This system could understand 16 words spoken in English. Then, in the 1970s, voice recognition expanded with the US Department of Defense's Siri voice recognition technology. They also developed the "DARPA" Speech Understanding Research (SUR) program, from 1971 to 1976, which was one of the largest research programs in the history of speech recognition. In the 1980s, speech recognition took a new approach to understanding what people were saying. Speech recognition vocabulary has grown from a few hundred words to several thousand pages......in the middle of a sheet......requires the use of different skills. They will become EHR report writers and remain responsible for the quality of information dictated into the system. They would use what is called front-end speech recognition (FESR). The use of speech recognition technology has increased over the past decade in the field of medical transcription, but it will not replace the traditional medical transcription system due to the number of problems that arise when using the new technology. In conclusion, the main benefit of voice recognition is the added level of security it provides to its consumers. This technology is very secure, but most software experiences problems as it develops. Over time, I am sure it will become one of the most successful software applications in the vast and growing field of electronic documentation and health records..