NDLI: Myo-electric signals to augment speech recognition

Content Provider	Springer Nature Link
Author	Chan, A. D. C. Englehart, K. Hudgins, B. Lovely, D. F.
Copyright Year	2001
Abstract	It is proposed that myo-electric signals can be used to augment conventional speech-recognition systems to improve their performance under acoustically noisy conditions (e.g. in an aircraft cockpit). A preliminary study is performed to ascertain the presence of speech information within myo-electric signals from facial muscles. Five surface myo-electric signals are recorded during speech, using Ag−AgCl button electrodes embedded in a pilot oxygen mask. An acoustic channel is also recorded to enable segmentation of the recorded myo-electric signal. These segments are processed off-line, using a wavelet transform feature set, and classified with linear discriminant analysis. Two experiments are performed, using a ten-word vocabulary consisting of the numbers ‘zero’ to ‘nine’. Five subjects are tested in the first experiment, where the vocabulary is not randomised. Subjects repeat each word continuously for 1 min; classification errors range from 0.0% to 6.1%. Two of the subjects perform the second experiment, saying words from the vocabulary randomly; classification errors are 2.7% and 10.4%. The results demonstrate that there is excellent potential for using surface myo-electric signals to enhance the performance of a conventional speech-recognition system.
Starting Page	500
Ending Page	504
Page Count	5
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	39
Issue Number	4
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2001-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Speech recognition Myo-electric signal Wavelet transform Pattern recognition Biological signal processing Human Physiology Computer Applications Neurosciences Imaging Radiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Errors associated with the use of adaptive differential pulse code modulation in the compression of isometric and dynamic myo-electric signals

Directional dual-tree complex wavelet packet transforms for processing quadrature signals

Denoising performance of modified dual-tree complex wavelet transform for processing quadrature embolic Doppler signals

Emotion recognition system using short-term monitoring of physiological signals

Wavelet transform analysis of heart rate variability during myocardial ischaemia

Feature analysis of pathological speech signals using local discriminant bases technique

Optimal wavelets for biomedical signal compression

Automated neural network detection of wavelet preprocessed electrocardiogram late potentials

A signal invariant wavelet function selection algorithm

Myo-electric signals to augment speech recognition

Similar Documents

Errors associated with the use of adaptive differential pulse code modulation in the compression of isometric and dynamic myo-electric signals

Directional dual-tree complex wavelet packet transforms for processing quadrature signals

Denoising performance of modified dual-tree complex wavelet transform for processing quadrature embolic Doppler signals

Emotion recognition system using short-term monitoring of physiological signals

Wavelet transform analysis of heart rate variability during myocardial ischaemia

Feature analysis of pathological speech signals using local discriminant bases technique

Optimal wavelets for biomedical signal compression

Automated neural network detection of wavelet preprocessed electrocardiogram late potentials

A signal invariant wavelet function selection algorithm

Myo-electric signals to augment speech recognition