Jove
Visualize
Contact Us

Related Concept Videos

Neural Control of Respiration01:18

Neural Control of Respiration

5.3K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
5.3K

You might also read

Related Articles

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

Sort by
Same author

A frugal Spiking Neural Network for unsupervised multivariate temporal pattern classification and multichannel spike sorting.

Nature communications·2025
Same author

A Vision Transformer Architecture For Overt Speech Decoding From ECoG Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Quick speech motor correction in the absence of auditory feedback.

Frontiers in human neuroscience·2024
Same author

A multimodal dynamical variational autoencoder for audiovisual speech representation learning.

Neural networks : the official journal of the International Neural Network Society·2024
Same author

Nanoporous graphene-based thin-film microelectrodes for in vivo high-resolution neural recording and stimulation.

Nature nanotechnology·2024
Same author

Motion In-Betweening via Deep ∆-Interpolator.

IEEE transactions on visualization and computer graphics·2023
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 Experiment Video

Updated: Mar 11, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

1.9K

Real-Time Control of an Articulatory-Based Speech Synthesizer for Brain Computer Interfaces.

Florent Bocquelet1,2,3,4, Thomas Hueber3,4, Laurent Girin4,5

  • 1INSERM, BrainTech Laboratory U1205, Grenoble, France.

Plos Computational Biology
|November 24, 2016
PubMed
Summary

This study developed a real-time, articulatory-based speech synthesizer controlled by brain-computer interfaces (BCI). The system translates articulator movements into intelligible speech, offering hope for communication restoration in paralyzed individuals.

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

14.3K

Related Experiment Videos

Last Updated: Mar 11, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

1.9K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

14.3K

Area of Science:

  • Neuroscience
  • Speech Science
  • Biomedical Engineering

Background:

  • Restoring natural speech for individuals with paralysis and aphasia is a significant challenge.
  • Brain-Computer Interfaces (BCIs) offer a potential pathway for communication restoration.
  • Developing real-time, intelligible speech synthesizers is crucial for BCI applications.

Purpose of the Study:

  • To present and evaluate an articulatory-based speech synthesizer controllable in real-time for future BCI applications.
  • To enable the conversion of speech articulator movements into intelligible speech.
  • To assess the real-time performance and intelligibility of the synthesizer.

Main Methods:

  • Developed a deep neural network (DNN) for articulatory-to-acoustic mapping using electromagnetic articulography (EMA) data.
  • Trained the DNN on synchronized EMA sensor data and speech signals from a reference speaker.
  • Implemented the DNN in both offline and online modes for speech synthesis, utilizing a vocoder for audio conversion.

Main Results:

  • Highly intelligible speech was achieved in offline mode, confirmed by perceptual evaluations.
  • Real-time synthesis of vowels and consonants demonstrated good intelligibility in a closed-loop BCI paradigm.
  • A short calibration period effectively compensated for inter-speaker differences in sensor placement and articulation.

Conclusions:

  • The developed articulatory-based speech synthesizer is capable of real-time, intelligible speech production.
  • This technology shows significant promise for future speech BCI applications.
  • The system facilitates communication restoration for individuals with speech impairments.