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It may be surprising to some, but speech recognition has been in development since early 1950. Of course at that time the device's ability to recognize speech was very limited and in fact could only recognize spoken digits. Therefore, with more than 50 years of development behind it to what extent this technology progressed?
The ability of a computer to recognize the human voice has always been dictated mainly by the software used to interpret the sound waves that are recorded by the hardware to which the computer is connected. In this regard little has changed. Microphone and sound recording technology sufficiently advanced is that accuracy Recording is not in question. What causes problems is the process of interpretation of the sound waves that are recorded and training information of stored data.
Human language is very interpretive. That is the same sounds may have different meanings and it is up to the listener to assign meaning to them. The process of assigning meaning is known as interpretation and is very complex. Computer software developers have struggled with this problem for decades and only recently that significant steps be taken to resolve the problems presented.
Voice recognition software is used in a modern variety of areas. Most notable among these are:
- Telephony
- Military Applications
- Collection information
- Health Care
- Support for disabled people
- Air Traffic Control
In speech recognition, telephony has been successfully used in mobile phones to dial a number in the tables for users to select automated a particular connection and service to improve service by allowing the automatic transcription of recorded customer calls. It is this latter area overlaps with the activities of gathering information and allows a control signal monitoring to maintain efficiency over a large number of calls with minimal human intervention. The idea here is that some keywords will mark a recorded conversation for further investigation by a human operator.
Speech recognition technology has also been used successfully in a number of fighter jets of high technology. Problems with the accuracy of interpretation, especially at high G loads have caused some programs to be withdrawn, however, the technology is still in development. The most notable current implementation This technology is in the Eurofighter Typhoon. The limitations of voice recognition technology still mean that the individual profiles must be created for pilot match the individual voice, yet the program is considered a success because it enables a reduction in pilot workload overall. Pilots can assigning targets and transmit that information to all wingmen in an automated way through voice recognition technology.
Fortunately Voice recognition has not only been used for military purposes and destructive. It has also been successfully used to help the medical profession during recording and transcription of case notes or other medical information. Because of the highly specialized nature of the vocabulary used in the medical profession is complicated this software to produce and expensive.
The software used to support people with disabilities in general cheaper and a bit more limited in scope. The costs here are generated mostly by the man-machine interface is necessary to act on the words interpreted and instructions. An application to which recognition technology voice has been used successfully is to support tetraplegics motorized wheelchairs. The interpretation of verbal commands here that enables the user guide and direct the wheelchair in the desired direction.
Although voice recognition technology has come leaps and bounds in recent years yet is far from perfect. The day is finally coming even when we have the ability to manage the technology we use in our daily lives by voice alone.
Google Sketchup aircraft wing tutorial pt 2 of 2
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