DocumentCode
3166928
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
fYear
1990
fDate
1-4 Apr 1990
Firstpage
511
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '90. Proceedings., IEEE
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/SECON.1990.117867
Filename
117867
Link To Document