Title :
A proposed control scheme for a vocal prosthesis
Author :
Day, Susan H. ; Morse, M. Steven ; Day, Robert A.
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
Abstract :
The authors report on research into the recognition of speech utilizing the myoelectric signals exhibited by the muscles that shape the vocal tract. Myoelectric signals from four muscle sites were digitized along with the acoustic waveform. Energy, average magnitude, and standard deviation of the biopotentials served as inputs to a maximum likelihood classifier. Recognition is close to three times a priori for a ten-word set, with a 70-80% chance of recognition within the first five choices of the maximum likelihood algorithm
Keywords :
biocontrol; bioelectric potentials; muscle; prosthetics; speech recognition; acoustic waveform; biopotentials; control scheme; maximum likelihood classifier; muscles; myoelectric signals; speech recognition; vocal prosthesis; vocal tract; Acoustic waves; Handicapped aids; Larynx; Muscles; Pattern recognition; Prosthetics; Shape control; Speech recognition; Stomach; Surgery;
Conference_Titel :
Southeastcon '90. Proceedings., IEEE
Conference_Location :
New Orleans, LA
DOI :
10.1109/SECON.1990.117867
