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

Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

Perceiving Loudness, Pitch, and Location

Perceiving Loudness, Pitch, and Location

The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by identifying...

You might also read

Related Articles

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

Sort by

Same author

An efficient algorithm to calculate the diffracted sound field by a sound-absorbing barrier on an impedance ground.

The Journal of the Acoustical Society of America·2026

Same author

An optimal control point distribution method for two-channel crosstalk cancellation.

The Journal of the Acoustical Society of America·2026

Same author

A distributed adaptive wave field synthesis system.

The Journal of the Acoustical Society of America·2025

Same author

Experimental study of a distributed active noise control system with multi-device nodes based on augmented diffusion strategy.

The Journal of the Acoustical Society of America·2024

Same author

Sound field reconstruction using a compact acoustics-informed neural network.

The Journal of the Acoustical Society of America·2024

Same author

A broadband active sound absorber with adjustable absorption coefficient and bandwidth.

The Journal of the Acoustical Society of America·2024

Search research articles

Related Experiment Video

Updated: Jun 19, 2026

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

Published on: February 14, 2014

A circular microphone array with virtual microphones based on acoustics-informed neural networks.

Sipei Zhao¹, Fei Ma¹

¹Centre for Audio, Acoustics and Vibration, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia.

The Journal of the Acoustical Society of America

|July 15, 2024

Summary

This study introduces virtual microphones to enhance circular microphone array beamforming, overcoming performance dips at specific frequencies. The novel approach improves acoustic signal focusing without physical array modifications.

More Related Videos

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Published on: November 25, 2017

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Related Experiment Videos

Last Updated: Jun 19, 2026

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

Published on: February 14, 2014

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Hemi-laryngeal Setup for Studying Vocal Fold Vibration in Three Dimensions

Published on: November 25, 2017

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Area of Science:

Acoustics
Signal Processing
Machine Learning

Background:

Acoustic beamforming uses microphone arrays to focus sound and reduce interference.
Circular microphone arrays face performance issues at specific frequencies due to Bessel function zeros.
Existing solutions like baffled or concentric arrays have practical drawbacks (bulkiness, complexity, cost).

Purpose of the Study:

To propose a novel method for improving acoustic beamforming with circular microphone arrays.
To address the performance degradation issue without physical array modifications.
To enhance the accuracy and applicability of beamforming in real-world scenarios.

Main Methods:

Implementation of a circular microphone array augmented with virtual microphones.
Utilizing an acoustics-informed neural network to predict sound pressures at virtual microphone locations.
Integrating physical and virtual microphone pressure data for beamformer design.

Main Results:

Successfully eliminated performance degradation associated with circular arrays at critical frequencies.
Demonstrated suppression of spatial aliasing at higher frequencies.
Validated the effectiveness of the virtual microphone approach through experimental results.

Conclusions:

The proposed virtual microphone technique effectively overcomes limitations of traditional circular microphone arrays.
This method offers a practical solution for enhanced acoustic beamforming performance.
The approach shows significant potential for advanced audio signal processing applications.