Abstract
This paper explores the most important techniques currently used
to detect sub-vocal speech in people with cerebral palsy as well
as for commercial purposes, (e.g. allow communication in very
noisy places). The methodologies presented deal with
speech-signal acquisition and processing. Signal detection and
analysis methods are described throughout the whole speech
process, from signal generation (as neural impulses in the brain)
to the production sound in the vocal apparatus (located in the
throat). Acquisition and processing quality depends on several
factors that will be presented in various sections. A brief
explanation to the whole voice generation process is provided in
the first part of the article. Subsequently, sub-speech signal
acquisition and analysis techniques are presented. Finally, a
section about the advantages and disadvantages of the various
techniques is presented in order to illustrate different
implementations in a sub-vocal speech or silent speech detection
device. The results from research indicate that Non-audible
Murmur Microphone (NAM) is one of the choices that offer huge
benefits, not only for signal acquisition and processing, but
also for future Spanish language phoneme discrimination.
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