Methods and apparatuses for myoelectric-based speech processing

Details Methods and apparatuses for myoelectric-based speech processing Methods and apparatuses for myoelectric-based speech processing

2007-10-26

2011-12-20

Abebe, Daniel D (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S271000, C600S547000

Reexamination Certificate

active

08082149

ABSTRACT:
A method for myoelectric-based processing of speech. The method includes capturing a myoelectric signal from a user using at least one electrode, wherein the electrode converts an ionic current generated by muscle contraction into an electric current. The method also includes amplifying the electric current, filtering the amplified electric current, and converting the filtered electric current into a digital signal. The method further includes transmitting the myoelectric signal to a digital device, transforming the digital signal into a written representation using an automatic speech recognition method, and generating an audible output from the written representation using a speech synthesis method.

REFERENCES:
patent: 7480616 (2009-01-01), Manabe et al.
patent: 7676372 (2010-03-01), Oba
patent: 7680666 (2010-03-01), Manabe et al.
patent: 2004/0034645 (2004-02-01), Manabe et al.
patent: 2006/0085183 (2006-04-01), Jain
Hirotoka et al. “Revolutionizing Mobile Communications through New Interface Technologies” . . . 2003 pp. 1-41.
Shultz et al. “Session Independent Non-Audible Speech Recognition Using Surface Electromyography” pp. 331-336.
Jorgensen et al., “Sub Auditory Speech Recognition Based on EMG Signals”, Neural Networks 2003 (abstract).
Waibel et al,. “Vocal Tract Length Normalization for Large Vocabulary Continuous Speech Recognition”, School of Computer Science, CMU 1997.
Jin et al., “Fast Robust Inverse Transform SAT and Multi-Stage Adaptation”, Proc. DARPA Broadcast News Transcription and Understanding Workshop, 1998.
Chan et al., “Hidden Markov Model Classification of Myoelectric Signals in Speech”, Engineering in Medicine and Biology Magazine 2002, vol. 21(5) p. 143-146 (abstract).
“Selected Topics in Surface Electromyography for Use in the Occupational Setting: Expert Perspectives”, U.S. Department of Health and Human Services, 1992 (Publication No. 91-100).

Affiliated with

Also associated with

Rating

Methods and apparatuses for myoelectric-based speech processing does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Methods and apparatuses for myoelectric-based speech processing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods and apparatuses for myoelectric-based speech processing will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4309608