Literature DB >> 2947775

Research summary of a scheme to ascertain the availability of speech information in the myoelectric signals of neck and head muscles using surface electrodes.

M S Morse, E M O'Brien.   

Abstract

The availability of speech information in the myoelectric signals (MES) of neck and head muscles was observed during five experiments conducted on two subjects. The MES of four channels, obtained using surface electrodes, was analog amplified, filtered and enhanced prior to digitization. Information was extracted at the rate of 20 points per second per channel using an average magnitude algorithm. The presence of speech related information was statistically verified with a pattern recognition algorithm based on the maximum likelihood algorithm. The results indicated that statistically significant (p = 0.01) information was present and that this scheme might be valuable in the future development of a vocal prosthesis.

Mesh:

Year:  1986        PMID: 2947775     DOI: 10.1016/0010-4825(86)90064-8

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Development of sEMG sensors and algorithms for silent speech recognition.

Authors:  Geoffrey S Meltzner; James T Heaton; Yunbin Deng; Gianluca De Luca; Serge H Roy; Joshua C Kline
Journal:  J Neural Eng       Date:  2018-06-01       Impact factor: 5.379

2.  Myo-electric signals to augment speech recognition.

Authors:  A D Chan; K Englehart; B Hudgins; D F Lovely
Journal:  Med Biol Eng Comput       Date:  2001-07       Impact factor: 3.079

  2 in total

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