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

Echo01:06

Echo

The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case, then the...

You might also read

Related Articles

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

Sort by
Same author

Real-World Airborne Sound Analysis for Health Monitoring of Bearings in Railway Vehicles.

Sensors (Basel, Switzerland)·2026
Same author

Reverberation-Robust Self-Calibration and Synchronization of Distributed Microphone Arrays by Mitigating Heteroscedasticity and Outlier Occurrence in TDoA Measurements.

Sensors (Basel, Switzerland)·2024
Same author

Open(G)PIAS: An Open-Source Solution for the Construction of a High-Precision Acoustic Startle Response Setup for Tinnitus Screening and Threshold Estimation in Rodents.

Frontiers in behavioral neuroscience·2019
Same author

Raking early reflection signals for late reverberation and noise reduction.

The Journal of the Acoustical Society of America·2019
Same author

Acoustic reciprocity: An extension to spherical harmonics domain.

The Journal of the Acoustical Society of America·2017
Same author

A model for the temporal evolution of the spatial coherence in decaying reverberant sound fields.

The Journal of the Acoustical Society of America·2015
Same journal

Sibilant differentiation before and after tongue cancer surgery: Acoustics, kinematics and the role of sensorimotor controla).

The Journal of the Acoustical Society of America·2026
Same journal

BioNet-A: Ultrasonic echo representation network for target discrimination using active SONAR.

The Journal of the Acoustical Society of America·2026
Same journal

Empty soft-drink cans and mass-loaded rods: Analogous homework problems from acoustic and mechanical domains.

The Journal of the Acoustical Society of America·2026
Same journal

Erratum: Statistical wave field theory: Anisotropic wave fields under Neumann's boundary condition [J. Acoust. Soc. Am. 159(3), 2265-2280 (2026)].

The Journal of the Acoustical Society of America·2026
Same journal

On the modification of tip leakage noise sources by porous treatment.

The Journal of the Acoustical Society of America·2026
Same journal

An educational opportunity: Acoustics in an empty room.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: May 23, 2026

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
07:52

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners

Published on: March 13, 2026

Localization of distinct reflections in rooms using spherical microphone array eigenbeam processing.

Haohai Sun1, Edwin Mabande, Konrad Kowalczyk

  • 1Department of Electronics and Telecommunications, Norwegian University of Science and Technology, NTNU, Trondheim 7491, Norway. haohai.sun@ieee.org

The Journal of the Acoustical Society of America
|April 17, 2012
PubMed
Summary
This summary is machine-generated.

This study compares spherical microphone array eigenbeam (EB) processing techniques for locating early sound reflections. Methods like EB-MUSIC and EB-ESPRIT were evaluated for accurate acoustic mapping in real rooms.

More Related Videos

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
04:32

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

Published on: December 20, 2024

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
11:06

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

Related Experiment Videos

Last Updated: May 23, 2026

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
07:52

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners

Published on: March 13, 2026

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
04:32

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

Published on: December 20, 2024

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
11:06

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

Area of Science:

  • Audio signal processing
  • Room acoustics
  • Acoustic signal analysis

Background:

  • Accurate localization of early reflections is crucial for understanding room acoustics.
  • Spherical microphone arrays offer advanced capabilities for spatial audio analysis.

Purpose of the Study:

  • To experimentally compare various spherical microphone array eigenbeam (EB) processing techniques for early reflection localization.
  • To evaluate the effectiveness of EB-domain methods in creating acoustic maps for room analysis.

Main Methods:

  • Implementation of steered beamformer and subspace-based localization techniques in the spherical EB domain.
  • Utilized methods include plane-wave decomposition, EB delay and sum, EB minimum variance distortionless response, EB-MUSIC, and EB-ESPRIT.
  • Derived EB-domain frequency smoothing and white noise gain control for performance enhancement.

Main Results:

  • Demonstrated the capability of estimating directions of arrival for sound sources and reflections using acoustic maps.
  • Showcased improved performance and robustness in reflection localization through derived EB-domain techniques.
  • Validated the practical applicability of the presented methods via real-room experiments.

Conclusions:

  • Spherical microphone array eigenbeam processing techniques provide effective tools for early reflection localization.
  • The evaluated methods, particularly EB-MUSIC and EB-ESPRIT, are suitable for acoustic mapping and analysis in real environments.
  • Frequency smoothing and white noise gain control enhance the reliability of reflection localization.