1. An apparatus for compensating for a loss of speech, comprising: a sensor unit wherein the sensor unit senses the position of a user's tongue while the user articulates words or sounds; a comparator connected to the sensor unit wherein the comparator compares the position of the user's tongue with a library of stored tongue positions and associated words or sounds, the comparator including a processor which creates words or sounds by selecting and, where necessary, modifying, associated words or sounds for projection by a loudspeaker; and a loudspeaker being coupled with the processor wherein when a match is found between the sensed tongue positions and the stored tongue positions, the loudspeaker then projects a sound associated with the stored tongue positions.
1. An apparatus for compensating for a loss of speech, comprising: a sensor unit wherein the sensor unit senses the position of a user's tongue while the user articulates words or sounds; a comparator connected to the sensor unit wherein the comparator compares the position of the user's tongue with a library of stored tongue positions and associated words or sounds, the comparator including a processor which creates words or sounds by selecting and, where necessary, modifying, associated words or sounds for projection by a loudspeaker; and a loudspeaker being coupled with the processor wherein when a match is found between the sensed tongue positions and the stored tongue positions, the loudspeaker then projects a sound associated with the stored tongue positions. 11. The apparatus of claim 1 , wherein a Hidden Markov Model (HMM) is used to anticipate words and allow for a real-time output of words.