Voice Recognition Software

Using a computer and speech recognition software, a computer user can bypass, or partially bypass the keyboard and mouse interface. Commands or words are spoken into a receiving device, and the computer recognizes the input and responds accordingly. Development of medical voice recognition software began around the middle of the 1900s. Researchers soon discovered that development of applications of this sort was far more difficult than initially anticipated. In addition, the power necessary to run the software was not available until much later. The slow pace of the early computers stymied progress in the emerging speech recognition software industry. The first stand alone computers able to decipher language through accents and differencing speaking speeds were not available until the 1990s. These prototypes were not without their errors. The original language deciphering computers used so much memory and computing space just recognizing the spoken words that the output had to be handled by a second computer. These early language processing machines could only handle a single speaker at a time and had to be reconfigured each time a new user was introduced. For these reasons, they were not all together practical.

Despite the early drawbacks, a person with a disability could still get more work accomplished on a computer with medical voice recognition software than she could without the it. Limitations notwithstanding, even with corrections the speech recognition software of the early 1990s could still type much faster than a disabled person could without the advantage of language processing applications. For example, a magazine columnist who has suffered from paraplegia would still benefit from using this type of invention, regardless of speed and necessary computer memory. As advancements are made, computers were able to process users speaking without a pronounce speech impediment at up to 150 words per minute. All this is accomplished while achieving up to 99 percent accuracy. There are still the occasions when a user develops a sore throat that causes a gravely effect in their speaking. While other humans have little difficulty understanding someone who has a sore throat, the user's medical voice recognition software will be unable to process her spoken words. This concern is in the forefront of current research and development of new and improved speech recognition software. Researchers are also eager to create an application that can recognize the spoken words of a child. Children often do not fully understand language, and their speech develops over time.

These applications do not only include the ability to dictate a manuscript, but encompass many other capabilities. Voice dialing on home and mobile phones are quite handy. While driving, a phone user can dial a number simply by saying the name of the recipient into the phone. Then the cellular phone uses speech recognition software to convert the spoken name into the recorded phone number the user has keyed in for that individual name. This kind of technology can also be used for call routing. Call routing is the ability for an automated phone system to route calls per the caller's verbal request. For example, when a caller says, "accounts payable," the system would then transfer the call to that department. A caller can also enter data, such as a telephone number or credit card number simply by speaking them clearly into the automated system. There are many professional uses for this type of application. Pilots now can communicate to the plane's navigational computers through just the spoken word. The spoken word literally has the power to fly planes! "A man hath joy by the answer of his mouth: and a word spoken in due season, how good is it!" (Proverbs 15:23)

Despite all the multitude of uses, medical voice recognition software is by far the most commonly used language recognizing application. Developers originally thought that voice recognition software would replace the need for medical transcriptionists. Before the advent of this type of computer program, a doctor would speak her medical notes and observations into a hand held recording device. Then a medical transcriptionist would transcribe the oral recording to printed words for filing and recordkeeping purposes. Once a doctor could speak directly into the computer and generate printed documents, the idea was that medical transcription would become obsolete. The software that recognizes spoken word is not at the level of accuracy to challenge the medical transcription employees quite yet.

There are two main ways to implement medical voice recognition software. This software, often called SR, can be used at the onset of a project or at the end. If it is used at the beginning, a medical transcriptionist is not needed. If at the end, the services of a MT or editor are employed. SR at the beginning of a project consists of a healthcare provider speaking directly into the computer interface. Her spoken words immediately appear in written form on the screen. It is at this time she can make edits or corrections before saving them as a document or file. If the SR applications are utilized at the end, a healthcare provider speaks into a SR interface, but the words are filtered through the software and appear on the computer of a medical transcriptionist or healthcare editor. The changes are then made by this professional before filing or printing. In addition, many strides are being made in an attempt to make electronic claim filing also attached to the SR applications for speed and accuracy purposes. In the near future, healthcare professionals might also find it more convenient to file, retrieve and query information by speaking into the computer rather than weed through thousands of printed documents or saved files.
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