Acoustics MDPI

05/06/2026

🔊 Welcome to read
💡 Acoustic Noise Characterization of a Switched Reluctance Motor Using Sound Power and Psychoacoustic Metric Measurements
🧑‍🎓 by Moien Masoumi and Berker Bilgin (McMaster University)

This paper presents an experimental acoustic noise characterization of a switched reluctance motor (SRM) designed for a wind turbine pitch angle control application. It details the fixture design for holding and positioning the sound intensity probes, along with the essential hardware setup for conducting acoustic noise experiments. Additionally, the software configuration is described to ensure compliance with specific measurement requirements. To study the effect of speed and load variations on the motor’s acoustic noise characteristics, tests are conducted at various operating points.

📌 Read more: https://brnw.ch/21x37GC

This paper presents an experimental acoustic noise characterization of a switched reluctance motor (SRM) designed for a wind turbine pitch angle control application. It details the fixture design for holding and positioning the sound intensity probes, along with the essential hardware setup for cond...

04/06/2026

🎉 continues to grow!

We are delighted to share that the journal has received a 2025 CiteScore of 3.0, marking an increase compared with last year.

Thank you to our authors, reviewers, Editorial Board Members, and readers for helping us reach this milestone.

📊 Discover more: https://brnw.ch/21x35j8

02/06/2026

🔊 Welcome to read
💡 Experimental Investigation of Bulk Elastic Wave Propagation in the Volume of Metamaterials
🧑‍🎓 by Aleksandr Korobov and colleagues

This paper presents the results of experimental studies on the propagation of longitudinal and transverse ultrasonic waves through a metamaterial—a composite material based on polymer matrix with periodically arranged cylindrical elements.

📌 Read more: https://brnw.ch/21x31ey

This paper presents the results of experimental studies on the propagation of longitudinal and transverse ultrasonic waves through a metamaterial—a composite material based on polymer matrix with periodically arranged cylindrical elements. Such structures are known as phononic crystals. Amplitude...

27/05/2026

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💡 Horn Use Patterns and Acoustic Characteristics in Congested Urban Traffic: A Case Study of Ho Chi Minh City
🧑‍🎓 by Thulan Nguyen and colleagues (Osaka Metropolitan University)

Motorcycle horns are a dominant source of urban noise in many Southeast Asian cities, driven by high two-wheeler density and limited public transport infrastructure. Although automobiles have been in use for over a century, regulations governing horn design and volume control remain inadequate. This study investigates horn use behavior in Vietnamese urban traffic, identifying distinct acoustic patterns categorized as “attention” and “warning” signals.

📌 Read more: https://brnw.ch/21x2RJb

Motorcycle horns are a dominant source of urban noise in many Southeast Asian cities, driven by high two-wheeler density and limited public transport infrastructure. Although automobiles have been in use for over a century, regulations governing horn design and volume control remain inadequate. This...

26/05/2026

🔊 Welcome to read
💡 An Image Entropy Recurrence Map-Based Screening Method for Ultrasound B-Scan Image Segments Containing Defects
🧑‍🎓 by Peiqiang Chen and colleagues

In recent years, defect detection based on ultrasound B-scan images has been widely utilized in industry to detect the quality and presence of defects in products. However, there are still some difficulties in the process of processing B-scan images, such as sampling noise, the large amount of data, and so on. In this paper, we analyze the acoustic characteristics of an ultrasound B-scan image time series, design an image preprocessing method to make the image information gray-scale lossless, and propose a screening method for ultrasound B-scan image segments containing defects based on the theory of image entropy and a recurrence diagram.

📌 Read more: https://brnw.ch/21x2PzW

In recent years, defect detection based on ultrasound B-scan images has been widely utilized in industry to detect the quality and presence of defects in products. However, there are still some difficulties in the process of processing B-scan images, such as sampling noise, the large amount of data,...

25/05/2026

🔊 Welcome to read
💡 Experimental Investigation into the Active Narrowband Reshaping of a Ship Model’s Acoustic Signature
🧑‍🎓 by Steffen Ungnad and colleagues (Helmut-Schmidt-Universität/Universität der Bundeswehr Hamburg)

The use of inertial actuators to control the radiated sound pressure of a steel ship model at a lake measurement facility is examined. Therefore, methods of active vibration control as well as active control of target sound fields are applied using a fixed configuration of twelve accelerometers, eight control actuators, and five hydrophones.

📌 Read more: https://brnw.ch/21x2NHX

The use of inertial actuators to control the radiated sound pressure of a steel ship model at a lake measurement facility is examined. Therefore, methods of active vibration control as well as active control of target sound fields are applied using a fixed configuration of twelve accelerometers, eig...

25/05/2026

📣 Heading to Hong Kong this June?

We are pleased to announce that MDPI will participate in the 35th International Conference on Adaptive Structures and Technologies ( ), held in Hong Kong from 1–3 June 2026.

ICAST 2026 provides an excellent platform for researchers and engineers to exchange ideas and discuss the latest advances in smart materials, adaptive structures, vibration control, energy harvesting, and related technologies.

The following MDPI journals will be represented:
- Applied Sciences MDPI
- Micromachines MDPI
- JETA
- Aerospace MDPI
- Wind MDPI
- Acoustics MDPI
- JLPEA MDPI

📅 1–3 June 2026
📍 The Hong Kong University of Science and Technology - HKUST

If you are attending the conference, we warmly invite you to visit our booth and connect with our delegates. We look forward to meeting you in Hong Kong!

🔗 https://brnw.ch/21x2NsB

MDPI will attend the ICAST 2026, which will take place in Hongkong, from 1 to 3 June 2026. Smart and adaptive...

22/05/2026

🔊 Welcome to read
💡 Open-Set Recognition of Environmental Sound Based on KDE-GAN and Attractor–Reciprocal Point Learning
🧑‍🎓 by Jiakuan Wu and colleagues

While open-set recognition algorithms have been extensively explored in computer vision, their application to environmental sound analysis remains understudied. To address this gap, this study investigates how to effectively recognize unknown sound categories in real-world environments by proposing a novel Kernel Density Estimation-based Generative Adversarial Network (KDE-GAN) for data augmentation combined with Attractor–Reciprocal Point Learning for open-set classification.

📌 Read more: https://brnw.ch/21x2Jf8

While open-set recognition algorithms have been extensively explored in computer vision, their application to environmental sound analysis remains understudied. To address this gap, this study investigates how to effectively recognize unknown sound categories in real-world environments by proposing ...

20/05/2026

🔊 Welcome to read
💡 Methodology for Testing Acoustic Absorption of Lightweight Fabrics with 3D Microstructures Using Impedance Tube
🧑‍🎓 by David Caballol and colleagues (Universidad Politécnica de Madrid (Oficial))

In this study, the limits of using the impedance tube, or Kundt tube, are examined using the two-microphone method to obtain the normal acoustic absorption coefficient when analyzing the sound absorption properties of lightweight acoustic fabrics.

📌 Read more: https://brnw.ch/21x2Fc9

In this study, the limits of using the impedance tube, or Kundt tube, are examined using the two-microphone method to obtain the normal acoustic absorption coefficient when analyzing the sound absorption properties of lightweight acoustic fabrics. Lightweight porous fabrics with 3D microstructures t...

18/05/2026

🔊 Welcome to read
💡 Speech Intelligibility in Virtual Avatars: Comparison Between Audio and Audio–Visual-Driven Facial Animation
🧑‍🎓 by Federico Cioffi and colleagues (Università degli Studi della Campania "Luigi Vanvitelli")

The present study used Unreal Engine’s MetaHuman technology to compare four methodologies used to create facial animation: MetaHuman Animator (MHA), MetaHuman LiveLink (MHLL), Audio-Driven MetaHuman (ADMH), and Synthetized Audio-Driven MetaHuman (SADMH). Thirty-six word pairs from the Diagnostic Rhyme Test (DRT) were used as input stimuli to create the animations and to compare them in terms of intelligibility.

📌 Read more: https://brnw.ch/21x2zTI

Speech intelligibility (SI) is critical in effective communication across various settings, although it is often compromised by adverse acoustic conditions. In noisy environments, visual cues such as lip movements and facial expressions, when congruent with auditory information, can significantly en...