Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Modeling performance of a two-dimensional capsule in a microchannel flow: long-term lateral migration.

Physical review. E, Statistical, nonlinear, and soft matter physics·2010

Same author

Neuroprotective effects of resveratrol on ischemic injury mediated by improving brain energy metabolism and alleviating oxidative stress in rats.

Neuropharmacology·2010

Same author

[Determination of prim-O-glucosylcimifugin and 5-O-methylvisammisoide in Saposhnikovia divaricata and HPLC fingerprint analysis].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2010

Same author

Chronic treatment of exendin-4 affects cell proliferation and neuroblast differentiation in the adult mouse hippocampal dentate gyrus.

Neuroscience letters·2010

Same author

Design, synthesis and activity of benzothiazole-based inhibitors of NO production in LPS-activated macrophages.

Bioorganic & medicinal chemistry letters·2010

Same author

Tuberculosis should not be ignored in patients with peripheral gangrene.

Journal of vascular surgery·2010

Search research articles

Related Experiment Video

Updated: Aug 18, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

sEMG-based technology for silent voice recognition.

Wei Li¹, Jianping Yuan², Lu Zhang¹

¹Research Center for Ultrasonics and Technologies, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.

Computers in Biology and Medicine

|December 6, 2022

Summary

Silent speech recognition (SSR) uses surface electromyography (sEMG) to interpret muscle signals for speech, achieving 92.3% accuracy in recognizing Mandarin words without sound.

Keywords:

Biosignals Power spectrum Silent Speech Recognition (SSR)Support vector machine Surface electromyography

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Published on: January 5, 2024

Related Experiment Videos

Last Updated: Aug 18, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Published on: January 5, 2024

Area of Science:

Biomedical Engineering
Signal Processing
Human-Computer Interaction

Background:

Silent speech recognition (SSR) enables communication without audible sound by analyzing muscle activity.
Surface electromyography (sEMG) records electrical potentials from articulation muscles for speech recognition.
SSR has potential applications in pilot assistance, aiding individuals with speech impairments, and private communication.

Purpose of the Study:

To investigate the feasibility of an sEMG-based silent speech recognition system for Mandarin numeric words.
To evaluate the effectiveness of signal processing and machine learning techniques for SSR.

Main Methods:

Collected sEMG data for ten single Mandarin numeric words.
Processed sEMG signals to reduce noise and applied short-term energy (STE) for voice activity detection (VAD).
Extracted power spectrum features and utilized a Support Vector Machine (SVM) classifier with a 7-3 Hold-out validation split.

Main Results:

Achieved an average accuracy of 92.3% in recognizing isolated Mandarin words.
Demonstrated a maximum classification accuracy of 100% for specific words.
The proposed method effectively identified speech content from articulation muscle sEMG signals.

Conclusions:

The developed sEMG-based SSR method shows significant potential for practical applications.
The system demonstrates effectiveness in recognizing isolated words, paving the way for advanced silent communication technologies.