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Subvocal recognition
Subvocal recognition (SVR) is the process of taking subvocalization and converting the detected results to a digital output aurally or text-based.
== Concept ==
A set of electrodes are attached to the skin of the throat and, without opening the mouth or uttering a sound, the words are recognized by a computer.
Subvocal speech recognition deals with electromyograms that are different for each speaker. Therefore, consistency can be thrown off just by the positioning of an electrode. To improve accuracy, researchers in this field are relying on statistical models that get better at pattern-matching the more times a subject "speaks" through the electrodes, but even then there are lapses. At Carnegie Mellon University, researchers found that the same "speaker" with accuracy rates of 94% one day can see that rate drop to 48% a day later; between two different speakers it drops even more.
Relevant applications for this technology where audible speech is impossible: for astronauts, underwater Navy Seals, fighter pilots and emergency workers charging into loud, harsh environments. At Worcester Polytechnic Institute in Massachusetts, research is underway to utilize subvocal information as a control source for sophisticated computer music instruments.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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