Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Sensor-Based Ozone Monitoring and Forecasting in a Synchrotron Radiation Laboratory Using Autoregressive Integrated Moving Average Models.

Sensors (Basel, Switzerland)·2026
Same author

Speaker-dependent laser Doppler vibrometer-based voice conversion for dysarthric speech under noisy conditions.

JASA express letters·2026
Same author

Optimized Active Noise Cancellation for Hearing Tests Using Auditory Masking Characteristics.

IEEE journal of translational engineering in health and medicine·2026
Same author

Bi-layered microflap surgery for the treatment of anterior glottic web.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·2025
Same author

Improved Speech Authenticity Detection in Chinese-English Bilingual Contexts.

Sensors (Basel, Switzerland)·2024
Same author

Treatment Outcomes of Intralesional Steroid Injection for Refractory Vocal Process Granuloma.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery·2024

Related Experiment Video

Updated: Nov 27, 2025

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

35.6K

Ambulatory Phonation Monitoring With Wireless Microphones Based on the Speech Energy Envelope: Algorithm Development

Chi-Te Wang1,2,3, Ji-Yan Han4, Shih-Hau Fang2,5

  • 1Department of Otolaryngology Head and Neck Surgery, Far Eastern Memorial Hospital, New Taipei City, Taiwan.

JMIR Mhealth and Uhealth
|December 3, 2020
PubMed
Summary
This summary is machine-generated.

A new wireless microphone system accurately detects speech for voice disorder monitoring in teachers, achieving 89.9% accuracy. Noise reduction improves performance, making it suitable for ambulatory voice analysis.

Keywords:
adaptive thresholdbackground noisedosimetrynoise reductionphonation habitsphonotraumaspeech envelopevoice disorder

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

688
Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

239

Related Experiment Videos

Last Updated: Nov 27, 2025

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

35.6K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

688
Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

239

Area of Science:

  • Biomedical Engineering
  • Speech Science
  • Occupational Health

Background:

  • Voice disorders often stem from chronic overuse, particularly affecting teachers.
  • Existing ambulatory voice monitoring methods using contact microphones are limited by wiring and lack of real-time processing.

Purpose of the Study:

  • To develop a wireless automatic speech detection system for real-time ambulatory voice monitoring.
  • To evaluate the system's detection accuracy in controlled and noisy environments.
  • To report phonation ratio results in practical occupational settings.

Main Methods:

  • An adaptive threshold function based on energy envelope was designed for speech detection.
  • Ten teachers participated in testing the system's accuracy and phonation ratio.
  • An unsupervised noise reduction algorithm (log minimum mean square error) was investigated.

Main Results:

  • The system achieved an average speech detection accuracy of 89.9%.
  • Phonation ratios ranged from 44.0% to 78.0% during teaching sessions.
  • Background noise decreased accuracy, but noise reduction effectively improved it.

Conclusions:

  • The wireless automatic speech detection system demonstrates high accuracy for ambulatory voice monitoring.
  • Phonation ratio results are comparable to previous studies.
  • The system, with noise reduction, is a viable tool for occupational voice users.