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

Evaluation of video background and stimulus transparency in a visual ERP-based BCI under RSVP.

Medical & biological engineering & computing·2026

Same author

Evaluation of Different Types of Stimuli in an Event-Related Potential-Based Brain-Computer Interface Speller under Rapid Serial Visual Presentation.

Sensors (Basel, Switzerland)·2024

Same author

Evaluation of Single-Trial Classification to Control a Visual ERP-BCI under a Situation Awareness Scenario.

Brain sciences·2023

Same author

Comparison of Two Paradigms Based on Stimulation with Images in a Spelling Brain-Computer Interface.

Sensors (Basel, Switzerland)·2023

Same author

Effect of Stimulus Size in a Visual ERP-Based BCI under RSVP.

Sensors (Basel, Switzerland)·2022

Same author

Brain-Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications.

Sensors (Basel, Switzerland)·2021

Search research articles

Related Experiment Video

Updated: Nov 20, 2025

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

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

Published on: April 18, 2025

Speech stream segregation to control an ERP-based auditory BCI.

Francisco Velasco-Álvarez¹, Álvaro Fernández-Rodríguez¹, M Teresa Medina-Juliá¹

¹Departamento de Tecnología Electrónica, Universidad de Málaga, Málaga, Spain.

Journal of Neural Engineering

|January 20, 2021

Summary

This summary is machine-generated.

Using natural speech in auditory brain-computer interfaces (BCI) significantly improves stream segregation. This enhancement aids users in focusing on target stimuli, boosting performance and usability in event-related potential (ERP)-based systems.

Keywords:

auditory brain–computer interfaces event-related potentials natural speech stream segregation

More Related Videos

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Published on: September 7, 2022

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

Related Experiment Videos

Last Updated: Nov 20, 2025

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

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

Published on: April 18, 2025

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Published on: September 7, 2022

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

Area of Science:

Neuroscience
Human-Computer Interaction
Signal Processing

Background:

Auditory brain-computer interfaces (BCI) leverage natural sounds to enhance classification and usability.
Stream segregation, a key BCI mechanism, requires users to focus on one auditory stream while ignoring others.
Event-related potentials (ERP) are used to analyze neural responses to auditory stimuli in BCI.

Purpose of the Study:

To investigate if intelligible content in audio streams improves user concentration and attention to target stimuli in ERP-based auditory BCIs.
To evaluate the effectiveness of natural speech as a background for stream segregation in BCI applications.

Main Methods:

Two experimental conditions (A2 and A3) using simultaneous, spatialized audio streams with natural speech backgrounds were compared to a control condition.
Condition A2 involved auditory stimuli (syllables) overlaid on natural speech.
Condition A3 used brief alterations in natural speech flow as stimuli.

Main Results:

Both experimental conditions significantly outperformed the control condition in cross-validation and online tests.
ERP analysis showed improved discriminability for the experimental conditions compared to the control.
Subjective questionnaires indicated better usability for the condition with natural speech background (A2).

Conclusions:

Incorporating natural speech as a background enhances stream segregation in ERP-based auditory BCIs.
This approach leads to significant improvements in performance metrics, ERP waveform analysis, and user preference.
Future research should explore natural speech combined with non-distracting stimuli for ERP-based stream segregation.