Applied Acoustics最新文献

{"title":"Modal expansion-based data generation approach for deep learning-enabled sound source localization in a small enclosure","authors":"Rendong Pi,&nbsp;Xiang Yu","doi":"10.1016/j.apacoust.2025.111023","DOIUrl":"10.1016/j.apacoust.2025.111023","url":null,"abstract":"<div><div>Accurately locating sound-emitting objects in small and confined spaces is an important but challenging topic within the field of Sound Source Localization (SSL). Most traditional SSL methods are physics-based, lacking the ability and accuracy in dealing with noisy and reverberant environments. Recently, deep learning-based approaches have emerged, but they typically require large amounts of training datasets and reliable data generation tools. To address these needs, methods for generating SSL datasets, such as Image Source Method (ISM), have been developed, which are capable of modeling large acoustic spaces with moderate reverberations. However, in small confined acoustic spaces, audio signals generated by these methods may fail to capture the dominant features of sound fields due to strong modal behaviors. In this work, we investigate SSL in small spaces by employing Modal Expansion (ME) method to generate training dataset. The general workflow is established first, applicable to a range of similar problems with common modal-dominating features. To validate the method, we choose a representative shoebox model with rigid-walls. The sound field in the enclosure, specifically the Frequency Response Functions (FRFs), are calculated using the proposed method, numerical simulations, and compared with actual experiments. The response functions that correlate the spatial relationships between any receiver and source positions within the enclosure are then transformed into Impulse Response Functions (IRFs) for comprehensive dataset generation. To evaluate the effectiveness of the proposed method, we conduct a series of SSL experiments to prove the capabilities of the proposed dataset generation tools. A neural network is trained, and its prediction accuracy is assessed with extensive validation datasets. This work proposes a promising deep learning method for sound source localization in small spaces. Our related code is available at <span><span>https://github.com/Devin-Pi/modal-expansion-for-ssl</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111023"},"PeriodicalIF":3.4,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive hear-through filter design and implementation for earphones","authors":"Jianfeng Guo ,&nbsp;Ziyou Xun ,&nbsp;Xiaofeng Pan ,&nbsp;Guoxin Chen ,&nbsp;Hongxia Deng","doi":"10.1016/j.apacoust.2025.111029","DOIUrl":"10.1016/j.apacoust.2025.111029","url":null,"abstract":"<div><div>Hear-through (HT) systems enhance the perception of ambient sound by generating pseudo-ambient sound, and have become essential for modern smart earphones. However, conventional HT design methods assume that passive isolation of earphones has no effect at low frequencies, resulting in low-frequency amplification. To overcome this limitation and improve HT performance, we propose an efficient adaptive HT system. The system introduces a primary path in the HT controller design that characterizes the impact of passive isolation over the full-frequency. We further develop the HT based on filtered-x normalized least mean square (HT-FxNLMS) algorithm, which dynamically adjusts controller coefficients to adapt to ambient sound variations. Extensive simulations and experiments demonstrate superior performance and robustness compared to existing fixed-coefficient algorithms across different acoustic environments. Furthermore, the proposed HT controller enhances environmental speech signals, enabling natural communication for earphone users in real-world scenarios.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111029"},"PeriodicalIF":3.4,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new inverse design method for sound-absorbing metamaterial based on deep learning","authors":"Wenzhuo Zhang,&nbsp;Yonghui Zhao","doi":"10.1016/j.apacoust.2025.111024","DOIUrl":"10.1016/j.apacoust.2025.111024","url":null,"abstract":"<div><div>Recent advances in deep learning demonstrate significant potential for accelerating the design of complex acoustic absorbers. However, current approaches predominantly utilize complete absorption spectra as network inputs and rely on fixed unit cell configurations during design phases. These constraints introduce inefficiencies and practical limitations in inverse design implementations. To address these challenges, we present an innovative deep learning framework for inverse design applications, and apply it to the design of a subwavelength acoustic metamaterial with multiple micro-slit resonators. Distinct from conventional methods, our approach requires only target sound absorption indices (defined by lower and upper frequency bounds) as neural network inputs. Furthermore, the system enables adaptive adjustment of the number of unit cells according to prescribed absorption bandwidth requirements, significantly enhancing design flexibility and practicality. For efficient dataset generation, we establish a theoretical model revised via Kriging surrogate technique. Comparative analyses of deep neural networks (DNN) and convolutional neural network (CNN) reveal that both architectures achieve accurate predictions of metamaterial structural parameters across the 370–1200 Hz frequency range. Experimental validations confirm the effectiveness of our developed strategies, while subsequent discussions address the generalization abilities of neural networks. This investigation represents a substantive progression in deep learning-driven inverse design strategies for acoustic metamaterial absorbers.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111024"},"PeriodicalIF":3.4,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Data-based modeling of propeller tip-vortex cavitation noise for realistic acoustic ship signature” [Appl. Acoust. 241 (2026) 111004]","authors":"Youngjoo Kim ,&nbsp;Cheolsoo Park ,&nbsp;Dokyung Shin ,&nbsp;Seunghwan Kim ,&nbsp;Keunhwa Lee","doi":"10.1016/j.apacoust.2025.111037","DOIUrl":"10.1016/j.apacoust.2025.111037","url":null,"abstract":"","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111037"},"PeriodicalIF":3.4,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A piezoelectric meta-beam with non-Hermitian skin effect for controlling broadband structural–acoustic responses","authors":"Jiawei Mao,&nbsp;Shuai Liu,&nbsp;Shoubo Dai,&nbsp;Zewei Wang,&nbsp;Penglin Gao,&nbsp;Yegao Qu","doi":"10.1016/j.apacoust.2025.111020","DOIUrl":"10.1016/j.apacoust.2025.111020","url":null,"abstract":"<div><div>A piezoelectric <em>meta</em>-beam equipped with unidirectional control circuits is proposed to control structural vibration and radiated sound waves in a broadband frequency range. The <em>meta</em>-beam exhibits non-Hermitian skin effect, which localizes energy to a specific boundary, facilitating the control of vibrations and sound radiation waves. An analytical model is developed for analyzing the complex-domain dispersion diagram of the <em>meta</em>-beam in unbounded fluid, and the non-reciprocal wave transmission characteristics and skin-boundary control mechanisms of the beam are revealed. Experiment is conducted to confirm the presence of energy localization and skin effect for vibration attenuation across a broad frequency range. It is found that the unidirectional control circuits of the piezoelectric <em>meta</em>-beam can expand the bandgaps of the <em>meta</em>-beam. This enables broadband vibration attenuation of the beam by combining the passband and bandgap. The structural–acoustic responses of the <em>meta</em>-beam in unbounded fluid are modulated through control rate tuning. This allows for specific skin-boundary localization and an average sound radiation reduction about 40 dB over a broad frequency ranging from 600 Hz to 2000 Hz.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111020"},"PeriodicalIF":3.4,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NRSRNet: Speech enhancement network based on noise reduction and restoration module under extremely low SNR conditions","authors":"Tao Zhang,&nbsp;Qianwei Sun,&nbsp;Weiwei Zhang,&nbsp;Yanzhang Geng","doi":"10.1016/j.apacoust.2025.111012","DOIUrl":"10.1016/j.apacoust.2025.111012","url":null,"abstract":"<div><div>In specific environments, extremely high-energy noise interference can significantly degrade speech communication quality. Speech enhancement techniques can effectively mitigate this noise, which is crucial for boosting speech signals' clarity and overall quality. This paper introduces a speech enhancement network incorporating a noise reduction module and a speech restoration module. The design seeks to maximize noise suppression while restoring clean speech that might have been eliminated along with the noise, ensuring a more refined and intelligible output. Finally, the feasibility and effectiveness of this network for speech enhancement under extremely low Signal-to-Noise Ratio (SNR) conditions have been thoroughly validated through simulations and real-world experiments.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111012"},"PeriodicalIF":3.4,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acoustic emission source location based on machine learning and Bayesian inversion","authors":"Zheng Yuqing,&nbsp;Shang Xueyi,&nbsp;Luo Zhonghao","doi":"10.1016/j.apacoust.2025.111009","DOIUrl":"10.1016/j.apacoust.2025.111009","url":null,"abstract":"<div><div>Acoustic emission (AE) source location plays a crucial role in structural health monitoring, where P-wave travel time-based location methods are the most commonly employed. However, the modeling accuracy of P-wave travel time using uniform, 1D, or even simple 3D velocity model in complex structures remains limited, resulting in low location accuracy. To address this issue, a method combining machine learning (ML) and Bayesian inversion is proposed. Firstly, a Back-Propagation Neural Network (BPNN) model is used to establish the nonlinear relationship among AE source, sensor location, and P-wave travel time difference (TTD), ensuring accurate travel time estimation. Then, the TTD data is embedded into a Bayesian inversion framework, and the Markov Chain Monte Carlo (MCMC) algorithm is employed for global sampling and source location, effectively avoiding local optimum issues in traditional location methods. Synthetic tests on a circular hole-contained structure show that the proposed BPNN-Bayesian method achieves an average location error (ALE) of only 0.10 cm for noise free data, and 1.53 cm after 2 ms Gaussian noise is added. In pencil-lead break (PLB) experiments, the method achieves an ALE of 0.54 cm, outperforming traditional BPNN (ALE = 1.90 cm), Kriging (ALE = 0.62 cm), and Inverse Distance Weighting (IDW) (ALE = 1.52 cm)-based methods. It also surpasses shortest path algorithms like straight-line and A*-based methods. Moreover, field tests on eight blasting events yielded an average location error of 42.42 m. The proposed method offers a promising solution for AE source location in complex structures.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111009"},"PeriodicalIF":3.4,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geometric design and acoustic performance of dihedral focusing retroreflectors based on confocal conics","authors":"Shuai Lu ,&nbsp;Densil Cabrera ,&nbsp;Jonothan Holmes","doi":"10.1016/j.apacoust.2025.111031","DOIUrl":"10.1016/j.apacoust.2025.111031","url":null,"abstract":"<div><div>This study investigates dihedral retroreflectors, and how they can be modified for increased retroreflection in their vicinity by warping one or both of the dihedron’s surfaces thereby creating a focusing retroreflector. Previous research on this type of focusing acoustic retroreflector was restricted to identical confocal parabolas, and did not theorise the pattern of retroreflection beyond the focus. The present study shows that a wide range of solutions exists, for which retroreflection is particularly strong over a distinctive curve referred to as an auto-caustic, the shape of which can be calculated from the dihedron’s geometric parameters. Five cases were evaluated using raytracing, finite-difference time-domain acoustic simulation, and physical acoustic measurement. The cases include combinations of a confocal ellipse and hyperbola (convex and concave hyperbola), a confocal pair of parabolas, an ellipse and line, and a circle and line. Results highlight the importance of the auto-caustic curve, over which retroreflection is strong and similar to that at the geometric focus. For the cases evaluated (with 1.22 m dihedron face lengths and a focal length of 2 m), focusing retroreflection is particularly evident in the 2 kHz and 4 kHz octave bands.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111031"},"PeriodicalIF":3.4,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Compact phononic crystal ducts with periodic helmholtz mufflers and integrated thin plates for low-frequency broadband noise control","authors":"Panxue Liu ,&nbsp;Lihui Chen ,&nbsp;Xudong Wu ,&nbsp;Shuguang Zuo ,&nbsp;Shuiwen Shen","doi":"10.1016/j.apacoust.2025.111015","DOIUrl":"10.1016/j.apacoust.2025.111015","url":null,"abstract":"<div><div>This paper presents a compact phononic crystal featuring periodic Helmholtz mufflers with integrated thin plates for low-frequency broadband noise control in duct systems. Combining transfer matrix theory with rectangular plate modal analysis, the acoustic impedance model is developed for the Helmholtz mufflers that accounts for acoustic-structure coupling. The bandgap characteristics are systematically investigated through unit cell dispersion theory, with transmission loss predictions validated through both numerical simulations and experimental measurements. Afterward, the acoustic attenuation mechanism in the phononic crystal and the influence of different structure parameters on the acoustic attenuation characteristics are revealed. The research shows that introducing the thin plate brings a new peak of the transmission loss in the low-frequency range, which could generate one locally resonant bandgap. The existence of two bandgaps could widen the range of sound attenuation in the medium and low-frequency region. The thin plate is conducive to attenuating low-frequency noise with the help of small-size structures and various bandgap regulation factors. Moreover, the effect of the periodicity on the acoustic performance is investigated. Compared with the case of non-uniform distribution in the circumferential direction with the strict periodicity, the phenomenon of bandgap coupling is more obvious in the case of non-uniform axial distribution with the relaxation of periodicity. This research provides technical support for the low-frequency, broadband and large amplitude noise attenuation in pipelines using the concept of phononic crystals.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111015"},"PeriodicalIF":3.4,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sparse multi-time wavenumber analysis method based on incomplete guided wavefield data","authors":"Xiaoyu Liu ,&nbsp;Zenghua Liu ,&nbsp;Yanping Zhu ,&nbsp;Long Chen ,&nbsp;Zhenhe Tang ,&nbsp;Cunfu He","doi":"10.1016/j.apacoust.2025.111028","DOIUrl":"10.1016/j.apacoust.2025.111028","url":null,"abstract":"<div><div>Two-dimensional ultrasonic guided wavefield data carry rich waveguide structure information and are widely used for imaging and quantitative detection of structural damage. Focusing on the problem of high-volume data needs to be collected in the traditional damage imaging and quantitative detection method based on ultrasonic guided wavefield, this paper proposes a sparse multi-time wavenumber analysis method based on incomplete guided wavefield data. Firstly, the sparse sampling method of wavefield and the appropriate analysis dictionary are selected to construct the sensing matrix, and the compressed sensing equation is solved to reconstruct the snapshot of wavefield at multiple moments. Then, the continuous phase of the wavefield at multiple times is calculated, and the spatial phase gradient is calculated to obtain the wavenumber. After extracting the multi-time median wavenumber for each measurement point, the quantitative detection of damage is realized using the dispersion relationship between wavenumber and thickness. The method is first verified in the simulation, and then experimentally verified in an aluminum plate containing rectangular groove defects and a carbon fiber reinforced polymer plate with delamination defects. The simulation and experimental findings indicate that the proposed approach markedly decreases the quantity of measurement points while maintaining imaging quality and damage quantification accuracy.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"241 ","pages":"Article 111028"},"PeriodicalIF":3.4,"publicationDate":"2025-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}