Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Electromyography (EMG)-based auxiliary sound producing method and device

A technology of myoelectric signal and sounding device, which is applied in the field of auxiliary sounding based on myoelectric signal, which can solve the problems of low recognition rate and inability to work with both hands, and achieve the effect of short learning time, easy mastery and improved quality of life

Inactive Publication Date: 2013-03-27
INST OF ACOUSTICS CHINESE ACAD OF SCI
View PDF2 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of this solution is that it is suitable for deaf-mute people. The disadvantage is that the hands cannot work when speaking, the recognition rate is low, and it is still in the research stage.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electromyography (EMG)-based auxiliary sound producing method and device
  • Electromyography (EMG)-based auxiliary sound producing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0044] On the basis of extensive research, the present invention combines the needs of the voice-impaired, and absorbs the advantages and disadvantages of the previous voice-assisting systems, and proposes a new voice-assisting method. The principle of this voice-assisting device is to collect multiple myoelectric signals from the mouth, neck or face when the patient "voices". Through the existing prior knowledge, it is "translated" into "language", and then the "language" is converted into a speech signal through speech synthesis technology.

[0045]The method and device for assisted vocalization of myoelectric signals provided by the present invention include an assisted phonation learning process and an assisted emission process, wherein the assisted phonation learning process includes: the patient attaches the myoelectric sensor to a positi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an EMG-based auxiliary sound producing method and a device. The method includes obtaining a prior knowledge base required by auxiliary sound production through the EMG; and identifying words or characters corresponding to sound producing actions based on the prior knowledge base, and synthesizing the character or word speeches. The method for obtaining the prior knowledge base includes: (1) producing a sound of a character or word to be learned, collecting muscular movement caused by the sound producing action and generating a surface EMG (sEMG); (2) transmitting the SEMG relevant to the sound production to a screening and separating module of the sEMG; (3) the screening and separating module of the sEMG processing and extracting the sEMG relevant to the sound production; (4) a voice EMG identifying module extracting eigenvalues of the voice EMG and constructing a corresponding relation between the voice EMG and the sound production of characters or words; and (5) repeating the steps for a plurality of times to obtain the prior knowledge base finally.

Description

technical field [0001] The present invention relates to a method for assisting vocalization based on electromyographic signals, in particular to a method and device for assisting vocalization based on electromyographic signals. Background technique [0002] According to the results of the second sample survey of disabled persons conducted in 2006, the national population with speech disabilities is 1.27 million, accounting for 1.53%. Dysphonia can seriously affect the quality of life, cause inconvenience in communication, and is a heavy burden on the family and society. [0003] The causes of dysphonia fall into two broad categories—organic and nonorganic. Organic dysphonia stems from the disease of the patient's larynx, especially hemilaryngectomy and total laryngectomy will lead to loss of vocal function; non-organic dysphonia is mostly a loss of voice caused by mental factors. [0004] Non-organic dysphonia, also known as psychogenic dysphonia, manifests as hoarseness o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F3/01G09B21/00
Inventor 理华孟晓辉肖灵
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com