Applied Acoustics最新文献

Fibonacci array-based temporal-spatial localization with neural networks 利用神经网络进行基于斐波那契阵列的时空定位

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-11-05 DOI: 10.1016/j.apacoust.2024.110368

Jun Tang , Yang Qu , Enxue Ma , Yuan Yue , Xinmiao Sun , Lin Gan

{"title":"Fibonacci array-based temporal-spatial localization with neural networks","authors":"Jun Tang , Yang Qu , Enxue Ma , Yuan Yue , Xinmiao Sun , Lin Gan","doi":"10.1016/j.apacoust.2024.110368","DOIUrl":"10.1016/j.apacoust.2024.110368","url":null,"abstract":"<div><div>This paper proposes a novel Sound Source Localization (SSL) algorithm based on neural networks in the time domain space. Building upon previous research [Tang J, Sun X, Yan L, et al. Sound source localization method based time-domain signal feature using deep learning. Appl Acoust 2023;213:109626] that leverages neural network techniques for sound source localization, our methodology diverges from conventional grid-based approaches by circumventing spatial resolution limitations inherent to meshing through direct prediction of target coordinates via a regression method. We employ the Fibonacci Sphere Algorithm (FSA) to ensure a uniform distribution of microphone array elements, enhancing the array’s response consistency to sound sources from various directions. Our comprehensive model simulates a spatial SSL system within a 10-m spherical space. Experimental investigations have substantiated that the proposed neural network architecture demonstrates exceptional localization precision, as evidenced by the Mean Absolute Errors (MAE) obtained, which are 0.268, 0.304, and 0.287, correspondingly, when applied to 64-, 32-, and 16-element array configurations. Furthermore, our experiments demonstrate the strong generalization capability of the trained models, maintaining satisfactory performance even with element losses ranging from 5 % to 30 %. These findings highlight the potential of neural networks in SSL applications and provide valuable insights for future research and development in this field.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586536","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}

引用次数: 0

Semi-analytical prediction of energy-based acoustical parameters in proscenium theatres 基于能量的幕间剧场声学参数半分析预测

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-11-04 DOI: 10.1016/j.apacoust.2024.110379

Jianliang Gao , Shiu Keung Tang , Yuezhe Zhao , Lili Pan , Yangsheng Cai , Shuoxian Wu , Michael Vorländer

{"title":"Semi-analytical prediction of energy-based acoustical parameters in proscenium theatres","authors":"Jianliang Gao , Shiu Keung Tang , Yuezhe Zhao , Lili Pan , Yangsheng Cai , Shuoxian Wu , Michael Vorländer","doi":"10.1016/j.apacoust.2024.110379","DOIUrl":"10.1016/j.apacoust.2024.110379","url":null,"abstract":"<div><div>Previous studies of the authors have shown that there are limitations when the existing acoustic energy models are applied to theatres. In the present study, a new semi-analytical model is developed based on site surveys and scale model measurements, aiming to overcome these limitations and provide a reliable prediction of the most relevant energy-based monaural parameters: clarity <em>C</em><sub>80</sub>, definition <em>D</em><sub>50</sub>, center time <em>T</em><sub>S</sub>, sound strength <em>G</em>, early strength <em>G</em><sub>80</sub> and late strength <em>G</em><sub>L</sub>, in the stall of proscenium theatres for a comprehensive evaluation of the acoustic quality. Three full-size halls plus two scale model cases of another hall, which differ in dimension, acoustical condition and style of interior decoration, have been exploited as a sample for data analysis to propose the model, and another two halls not included in the sample are chosen for model validation. The results reveal that the proposed model has significant improvement in prediction accuracy than the existing theory initially developed for concert halls. The good agreement between the predicted values of the six energy-based acoustical parameters (i.e., <em>G</em><sub>80</sub>, <em>G</em><sub>L</sub>, <em>G</em>, <em>C</em><sub>80</sub>, <em>D</em><sub>50</sub> and <em>T</em><sub>S</sub>) by the new model and those measured indicates that this model can be used for point-by-point predictions in the stall area of proscenium theatres with reasonable accuracy.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578936","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}

引用次数: 0

Preparation and performance analysis of porous materials for road noise abatement using waste rubber tires 利用废旧橡胶轮胎制备多孔材料并进行性能分析以降低道路噪音

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-11-04 DOI: 10.1016/j.apacoust.2024.110374

Kexin Lu , Xiaodong Shang , Minmin Yuan

{"title":"Preparation and performance analysis of porous materials for road noise abatement using waste rubber tires","authors":"Kexin Lu , Xiaodong Shang , Minmin Yuan","doi":"10.1016/j.apacoust.2024.110374","DOIUrl":"10.1016/j.apacoust.2024.110374","url":null,"abstract":"<div><div>To reduce traffic noise and black pollution caused by moving vehicles, this study takes into account of the key parameters such as voids in the porous media acoustic model. This study proposes a cost-effective method. Waste tires are crushed into a certain size containing metal wires, and the porous sound-absorbing material is prepared by blow-filling method using polyurethane adhesive and nitrile foam rubber. Considering the compatibility between traffic noise spectrum and effective sound absorption frequency band of the material, this study examines and analyzes the noise reduction performance of the porous material made from waste rubber tires under various material parameters. This includes thickness, particle size distribution, particle size, and mixed quality combination. The results of this study indicate that the thickness, particle size, and the combination of mixed qualities are the three main factors influencing the sound absorption performance of porous material derived from waste rubber tires. Optimal comprehensive sound absorption and durability properties were achieved when 30 % of waste tire rubber was incorporated into the nitrile foam rubber. Compared to commonly used metal sound barriers, the noise reduction of the porous material prepared from waste rubber tires in this study increased the insertion loss of the sound barrier by up to 2.0 dB. This approach reduces material costs and reduces the black pollution caused by waste rubber tires. Concurrently, this contributes to the sustainable development of the traffic environment.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578937","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}

引用次数: 0

Acoustic characteristics of whispered vowels: A dynamic feature exploration 低声元音的声学特征：动态特征探索

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-11-02 DOI: 10.1016/j.apacoust.2024.110362

Tianxiang Cao , Cenyu Xiang , Yuxin Wu , Yanlong Zhang

{"title":"Acoustic characteristics of whispered vowels: A dynamic feature exploration","authors":"Tianxiang Cao , Cenyu Xiang , Yuxin Wu , Yanlong Zhang","doi":"10.1016/j.apacoust.2024.110362","DOIUrl":"10.1016/j.apacoust.2024.110362","url":null,"abstract":"<div><div>Whispered speech exhibits distinct acoustic characteristics compared to phonated speech due to the absence of vocal cord vibration. Previous research primarily focused on static features, neglecting the crucial role of dynamic spectral changes in vowel perception. This study investigates the effectiveness of dynamic features, specifically Vowel Inherent Spectral Change (VISC), in characterizing whispered vowels. VISC, a robust measure of dynamic spectral change, captures the continuous variation of formant frequencies throughout vowel articulation. It provides a richer representation than static features measured at a single point. This study analyzes formant frequencies and two key VISC metrics − vector length (VL) and spectral angle (α) in whispered and phonated Japanese vowels. VL represents the magnitude of formant change, while α reflects the direction of formant movement in acoustic space. Additionally, a vowel classification experiment using a Support Vector Machine (SVM) is conducted to directly compare the performance of models trained on static features versus those trained on a combination of static and dynamic features. Results reveal the effectiveness of VISC as a dynamic feature for characterizing whispered vowels. Through VISC analysis, a vowel classification experiment, and an exploration of the acoustic space of whispered vowels, dynamic features exhibit greater robustness across different phonation types in contrast to traditional static features. This study highlights the potential of VISC for enhancing whispered speech recognition. It further contributes to a more comprehensive understanding of whispered vowel acoustics and informs the development of more effective whisper-related speech technology.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573194","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}

引用次数: 0

A high DOF and azimuth resolution beamforming via enhanced virtual aperture extension of joint linear prediction and inverse beamforming 通过联合线性预测和反波束成形的增强型虚拟孔径扩展实现高 DOF 和方位角分辨率波束成形

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-11-02 DOI: 10.1016/j.apacoust.2024.110360

Lijun Huang , Qian Zhou , Shuhan Liao , Boyu Zhao

{"title":"A high DOF and azimuth resolution beamforming via enhanced virtual aperture extension of joint linear prediction and inverse beamforming","authors":"Lijun Huang , Qian Zhou , Shuhan Liao , Boyu Zhao","doi":"10.1016/j.apacoust.2024.110360","DOIUrl":"10.1016/j.apacoust.2024.110360","url":null,"abstract":"<div><div>Beamforming is a significant technique applied in many fields to infer the azimuth parameters of the acoustic source and improve the output signal-to-noise ratio (SNR) of the array. However, both the azimuth resolution and the degrees of freedom (DOF) for multi-source detection are limited by the finite array aperture. In this paper, a high-resolution, DOF-improved beamforming azimuth spectrum estimation method using an enhanced virtual aperture (EVA) extension is proposed. Firstly, a spectrum selection algorithm is presented, which effectively reduces the computation time through the time–frequency domain transformation. Secondly, an EVA extension algorithm is conducted through the joint expansion of bidirectional linear prediction (LP) and inverse beamforming (IBF) for increasing the number of the virtual array element significantly. Thirdly, the modified minimum variance distortion-less response (MVDR) based on the EVA array is proposed to obtain a sufficiently high azimuth resolution, improved DOF, and low sidelobes with relatively few calculations. For verification, the effectiveness of the proposed EVA-MVDR method is simulated by using MATLAB and experimented by adopting a shipborne platform on the lake, and the performance advantages in multi-source detection and background noise suppression over existing techniques are confirmed.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573195","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}

引用次数: 0

Design and characterizations of a multi–sound receiver using fly Ormia ochracea's ears–inspired MEMS directional microphone array 利用苍蝇 Ormia ochracea 耳朵启发的 MEMS 定向麦克风阵列设计多声接收器并确定其特性

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-10-31 DOI: 10.1016/j.apacoust.2024.110359

Ashiqur Rahaman , Byungki Kim , Dongkyou Park

引用次数: 0

A novel intelligent fault diagnosis method of helical gear with multi-channel information fused images under small samples 小样本下的多通道信息融合图像斜齿轮智能故障诊断新方法

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-10-30 DOI: 10.1016/j.apacoust.2024.110357

Hongwei Fan , Qingshan Li , Xiangang Cao , Xuhui Zhang , Buran Chen , Haowen Xu , Teng Zhang , Qinghua Mao

{"title":"A novel intelligent fault diagnosis method of helical gear with multi-channel information fused images under small samples","authors":"Hongwei Fan , Qingshan Li , Xiangang Cao , Xuhui Zhang , Buran Chen , Haowen Xu , Teng Zhang , Qinghua Mao","doi":"10.1016/j.apacoust.2024.110357","DOIUrl":"10.1016/j.apacoust.2024.110357","url":null,"abstract":"<div><div>Aiming at the limited fault state data in industrial practice and guaranteeing the effect of fault diagnosis using deep learning, a novel intelligent fault diagnosis method using images under small samples of helical gears is proposed. The vibration signals collected by a three-channel sensor are processed by the piecewise aggregation approximation (PAA) to construct a RGB Gramian angular field (GAF) image, and the size of the obtained image is reduced by the bicubic interpolation downsampling. Then, an improved sample expansion method of the Wasserstein generative adversarial network with the gradient penalty (WGAN-GP) based on the deep feature fusion of dual-branch discriminator is proposed, and a large number of high-quality GAF image samples are constructed. Next, an improved fault diagnosis model of ConvNeXt with the inverted triangle channel distribution (ITCD-ConvNeXt) is proposed to avoid the overfitting and enhance the diagnosis effect by refining the number of input channels at each stage. Finally, four experiments under low speed with load, low speed with no load, high speed with load and high speed with no load are designed to prove the effectiveness of all the proposed methods. It can be seen that the RGB-GAF image have the obvious advantages over the single-channel GAF images in terms of the data feature expression. The minimum and average values of Frechet inception distance (FID) of the proposed sample expansion model are smaller than those of the compared methods. The size of the proposed fault diagnosis model is reduced to 2.4% of the original model, and after the sample expansion, all the accuracy, precision, recall and F1-score values under four conditions exceed 90%.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554279","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}

引用次数: 0

Estimating viscous losses in recycled granular microparticles: A time-domain wave decomposition impedance tube with boundary condition approximation 估算回收颗粒微粒中的粘性损失：边界条件近似时域波分解阻抗管

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-10-30 DOI: 10.1016/j.apacoust.2024.110372

Anže Železnik, Luka Čurović, Jure Murovec, Nejc Cerkovnik, Jurij Prezelj

{"title":"Estimating viscous losses in recycled granular microparticles: A time-domain wave decomposition impedance tube with boundary condition approximation","authors":"Anže Železnik, Luka Čurović, Jure Murovec, Nejc Cerkovnik, Jurij Prezelj","doi":"10.1016/j.apacoust.2024.110372","DOIUrl":"10.1016/j.apacoust.2024.110372","url":null,"abstract":"<div><div>The sound absorption coefficient of a material represents the fraction of acoustic energy not reflected from its surface. The absorption is influenced by viscous losses in porous structures and sample resonances. This study proposes a novel method for measuring absorption coefficients in extended impedance tubes, specifically designed to distinguish between viscous losses and resonances, but can also be used to estimate the sound absorption coefficient in a standard impedance tube. The method is based on a time-domain wave decomposition for its simplicity of use and ability to visualize sound impulse reflections, revealing reflections of sound within the sample. A long vertical impedance tube was used to achieve sufficient separation of the sound impulses. Random noise was used as the excitation signal and spectral division deconvolution was used to calculate the sound wave impulses in the impedance tube. The proposed method was validated against the transfer function method using samples of rock wool, reconstituted foam, and polyether foam. The advantage of the proposed method was demonstrated on measurements of several granular fractions of recycled silica sand to determine the granule sizes where the main mechanism of sound absorption is viscous losses as opposed to resonances. It was found that the sound absorption caused by viscous losses is greatest for granule diameters around 500 μm.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noise-free fast sparse Bayesian learning method for robust multi-frequency underwater matched-field acoustic source localization 用于稳健多频率水下匹配场声源定位的无噪声快速稀疏贝叶斯学习方法

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-10-30 DOI: 10.1016/j.apacoust.2024.110356

Qisen Wang , Hua Yu , Yankun Chen , Chao Dong , Jie Li , Fei Ji

{"title":"Noise-free fast sparse Bayesian learning method for robust multi-frequency underwater matched-field acoustic source localization","authors":"Qisen Wang , Hua Yu , Yankun Chen , Chao Dong , Jie Li , Fei Ji","doi":"10.1016/j.apacoust.2024.110356","DOIUrl":"10.1016/j.apacoust.2024.110356","url":null,"abstract":"<div><div>In this paper, a matched-field processing (MFP) method based on sparse Bayesian learning (SBL) is proposed for robust multi-frequency underwater acoustic source localization. Firstly, a noise-free SBL framework is established by integrating the noise precision, which results in a heavy-tailed student-t posterior distribution potentially promoting the robustness for noise and environmental mismatch. Secondly, to enhance the computational efficiency, a modified fast SBL procedure is derived by sequentially maximizing the multi-frequency joint-sparsity marginal likelihood function. Finally, a new refined estimation strategy based on linear approximation is proposed to deal with the off-grid source localization problem. Simulations demonstrate that the proposed multi-frequency noise-free fast sparse Bayesian learning (MNFFSBL) algorithm not only has better performance than traditional MFP processors in scenarios of low SNR and modest environmental mismatch scenarios but also is much faster than the SBL method. The effectiveness of the proposed method is also validated by processing the data of the SWellEx-96 ocean acoustic experiment.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554281","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}

引用次数: 0

Non-line-of-sight sound source localization based on block sparse Bayesian learning and second-order edge diffraction 基于块稀疏贝叶斯学习和二阶边缘衍射的非视距声源定位

IF 3.4 2区物理与天体物理

Applied Acoustics Pub Date : 2024-10-30 DOI: 10.1016/j.apacoust.2024.110369

Qingbo Zhai , Fangli Ning , Juan Wei , Zhaojing Su

引用次数: 0