Journal of the Acoustical Society of America最新文献_第7页

A joint artificial and semantic feature space mixup for deep-model-based passive underwater acoustic multi-target recognition. 基于深度模型的被动水声多目标识别人工与语义特征空间混合。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039385

Ziyuan Xiao, Zihao Guo, Yina Han

{"title":"A joint artificial and semantic feature space mixup for deep-model-based passive underwater acoustic multi-target recognition.","authors":"Ziyuan Xiao, Zihao Guo, Yina Han","doi":"10.1121/10.0039385","DOIUrl":"https://doi.org/10.1121/10.0039385","url":null,"abstract":"Due to the limitation of sonar beam resolution, the passive radiated noises from different targets may overlap with each other within the same beam, which gives rise to the multi-target passive recognition problem. This problem is typically addressed by optimizing a multi-label loss function within the multi-target data. Furthermore, the complexity of the ocean acoustic environment results in significant intra-class diversity, which is particularly pronounced in a limited set of data, leading to severe distribution shifts. Additionally, nonlinear interactions occur when radiated noise from multiple targets propagates through underwater acoustic channels. To address these challenges, this article proposes a joint artificial and semantic feature space mixup for underwater acoustic multi-target recognition. Specifically, besides just mixing multiple targets in the original signal space, this study also mixes them in the canonical artificial feature space (e.g., Mel and short-time Fourier transform spectrograms) and semantic feature space (i.e., hidden features from deep models). By constructing multi-target data across different spaces, the study attempts to guide the deep network to learn the potential diversity of multiple targets with limited data. The study has also derived theoretical proofs for the rationality of this method in mitigating the impact of distribution shifts and nonlinear interactions. Extensive experiments demonstrate the consistent efficacy of this method when incorporating different deep models and artificial features.","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"158 3","pages":"2344-2357"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145125019","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

Dual boundary element method for solving the two-dimensional Helmholtz equation for the damped wave equation. 对偶边界元法求解二维Helmholtz方程的阻尼波动方程。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039389

Kue-Hong Chen, Yi-Kui Liu, Jeng-Tzong Chen

{"title":"Dual boundary element method for solving the two-dimensional Helmholtz equation for the damped wave equation.","authors":"Kue-Hong Chen, Yi-Kui Liu, Jeng-Tzong Chen","doi":"10.1121/10.0039389","DOIUrl":"https://doi.org/10.1121/10.0039389","url":null,"abstract":"In this paper, the dual boundary integral formulation of the two-dimensional Helmholtz equation with complex wave number is derived. The presence of damping in the medium results in the Helmholtz equation incorporating complex wave numbers in mathematical models. To address the singular and hypersingular integrals, the addition theorem is used to expand the four kernel functions, originally expressed with complex variables in the dual formulation, into purely real-variable functions in a series form. Consequently, the singular and hypersingular integrals are successfully transformed into the summation of regular integrals in an infinite series through the proposed regularization technique. The regular integrals are then computed using the Gaussian quadrature rule. This paper examines the occurrence of eigenvalues in both interior and exterior Helmholtz problems to understand how damping influences resonances. To validate the proposed formulation, three cases with exact solutions are used as standard benchmarks to evaluate the convergence and accuracy of the developed dual boundary element method program. Finally, two more general cases with amoeba-shaped geometry, which lack an exact solution and pose challenges in obtaining a convergent solution due to their irregular shape, are considered to evaluate the applicability and effectiveness of the proposed formulation.","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"158 3","pages":"2358-2376"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145125059","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 evidence of year-round sperm whale foraging, population structure, and sex-specific migration near Svalbard. 斯瓦尔巴达附近抹香鲸全年觅食、种群结构和性别特异性迁徙的声学证据。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039060

Angela R Szesciorka, Manuel Bensi, Patrizia Giordano, Francesco Paladini de Mendoza, Aniello Russo, Giacomo Giorli

{"title":"Acoustic evidence of year-round sperm whale foraging, population structure, and sex-specific migration near Svalbard.","authors":"Angela R Szesciorka, Manuel Bensi, Patrizia Giordano, Francesco Paladini de Mendoza, Aniello Russo, Giacomo Giorli","doi":"10.1121/10.0039060","DOIUrl":"10.1121/10.0039060","url":null,"abstract":"The Atlantification of the Arctic is driving a northward habitat shift of many cetaceans, including sperm whales (Physeter macrocephalus). As Arctic warming continues to decrease sea ice extent and contributes to the change in species distributions, it is crucial to study how the distribution patterns, habitat, and the demographic structure of sperm whale populations may continue to change. In this study, we assess the temporal presence of echolocating sperm whales on the continental slope southwest of the Svalbard archipelago and compare it with acoustic backscatter and temperature as a proxy for biomass. Size classes of echolocating whales were estimated using cepstral analysis. Echolocation rates were higher in summer and fall, suggesting a seasonality in the sperm whale presence; however, sperm whale clicks were present year-round and the acoustic backscatter and temperature were positively correlated with the recorded echolocation activity. The summer and fall size classes included a mix of large adult males, mid-sized sub-adult males and/or adult females, and social groups, which likely include immature animals and/or adult females and their offspring. We observed a shift to adult males in the winter, suggesting sex-specific partial migration at this site.","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"158 3","pages":"1921-1933"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145023575","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

Sparse Bayesian learning with Bernoulli-Gaussian priors for off-grid matched field processing. 基于伯努利-高斯先验的稀疏贝叶斯学习离网匹配场处理。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039374

Qingji Li, Xiao Han, Ran Cao, Zexun Wei, Jingwei Yin

{"title":"Sparse Bayesian learning with Bernoulli-Gaussian priors for off-grid matched field processing.","authors":"Qingji Li, Xiao Han, Ran Cao, Zexun Wei, Jingwei Yin","doi":"10.1121/10.0039374","DOIUrl":"https://doi.org/10.1121/10.0039374","url":null,"abstract":"Conventional matched field processing (MFP) computes replicas at predefined discrete grid points, which introduces error when a source position does not coincide with the grid. This grid mismatch phenomenon is termed basis mismatch in compressed sensing (CS) frameworks. However, conventional methods for mitigating basis mismatch cannot be applied directly to the MFP problem due to their high computational complexity or the need for closed-form expressions of atomic functions. To address this issue, this paper proposes a grid-adaptive model that alleviates the mismatch effect through the localized optimization of grid nodes. Building on this foundation, this paper develops an off-grid Bernoulli-Gaussian sparse Bayesian learning algorithm based on variational expectation-maximization principles. The grid adjustment problem is reformulated as a boundary-constrained linear least squares optimization that guarantees solution uniqueness. The proposed method overcomes the grid constraints inherent in conventional CS-MFP approaches and enables precise off-grid source localization. Furthermore, by incorporating the Bernoulli-Gaussian sparsity-promoting priors, the algorithm enhances the sparsity constraints without requiring prior sparsity-level information. Numerical simulations and the SwellEX-96 experimental results demonstrate that the proposed method exhibits superior performance in both localization success rate and sidelobe suppression compared to conventional Bartlett and sparse Bayesian learning processors.","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"158 3","pages":"2188-2206"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145081155","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

Retrospective longitudinal analysis of spectral features reveals divergent vocal development patterns for treble and non-treble singers. 频谱特征的回顾性纵向分析揭示了不同的声乐发展模式的高音和非高音歌手。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039243

Reuben Scott Walker, Mario Fleischer, Johan Sundberg, Marie Bieber, Hartmut Zabel, Dirk Mürbe

{"title":"Retrospective longitudinal analysis of spectral features reveals divergent vocal development patterns for treble and non-treble singers.","authors":"Reuben Scott Walker, Mario Fleischer, Johan Sundberg, Marie Bieber, Hartmut Zabel, Dirk Mürbe","doi":"10.1121/10.0039243","DOIUrl":"https://doi.org/10.1121/10.0039243","url":null,"abstract":"This study investigates the longitudinal spectral development of male and female classical singers throughout conservatory training. While classical singing techniques share commonalities across voice types, physiological differences have led to gender-specific pedagogy. Previous acoustic research has explored differences in resonance strategies between genders and voice types; however, little is known about how these spectral characteristics develop during vocal training. In this retrospective longitudinal study, recordings from 117 classical voice students at the Hochschule für Musik Carl Maria von Weber Dresden were analyzed. Recordings spanned 2008-2018 during the students' 4-year bachelor studies. Countertenors were analyzed with sopranos, mezzo-sopranos, and altos as \"treble\" voices and tenor, baritone, and bass voices were analyzed as \"non-treble\" voices. Spectral measures were assessed from three different vocal exercises using long-term average spectrum. Statistical analysis utilized linear mixed-effect models to explore the effect of years of study, voice group (treble or non-treble), and their interaction. Findings reveal that the treble singers increasingly concentrated relative acoustic energy in the f0 range of the sung exercise, while the non-treble singers increasingly concentrated relative acoustic energy above 1000 Hz. Additionally, female singers exhibited increased vocal periodicity over time across all tasks, suggesting a reduction in breathiness.","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"158 3","pages":"1989-1998"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145033464","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

Analysis of localized bending waves in a viscoelastic plate-foundation structure. 粘弹性板-基础结构的局部弯曲波分析。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039248

Rahul Som, Santanu Manna

引用次数: 0

A dual-encoder U-net architecture with prior knowledge embedding for acoustic source mapping. 一种具有先验知识嵌入的双编码器U-net结构用于声源映射。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039104

Haobo Jia, Feiran Yang, Xiaoqing Hu, Jun Yang

{"title":"A dual-encoder U-net architecture with prior knowledge embedding for acoustic source mapping.","authors":"Haobo Jia, Feiran Yang, Xiaoqing Hu, Jun Yang","doi":"10.1121/10.0039104","DOIUrl":"https://doi.org/10.1121/10.0039104","url":null,"abstract":"The deconvolution approach has become a standard method for high-resolution acoustic source mapping, but it suffers from a heavy computational burden. Deep learning-based methods have shown promising progress but often rely on single-type input features and ignore the position- and frequency-dependent variabilities of the point spread function (PSF), which leads to a decline in localization accuracy. This paper proposes a supervised learning framework based on dual-encoder U-net architecture to convert beamforming maps into a high-resolution map of true source strength distribution. Specifically, the model employs two individual encoders to extract complementary features from delay-and-sum and functional beamforming maps. Because the two maps provide distinct information on the same source strength distribution, a contrastive loss function is introduced to help encoders learn consistent latent features of sources. To characterize the PSF variations, a frequency encoder and position encoder are designed to embed prior knowledge, i.e., source frequency and grid positions, into the backbone network. The proposed model outperforms competing methods, on average, across four metrics for the simulation data and MIRACLE dataset and generalizes well across different numbers of sound sources and frequencies.","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"158 3","pages":"1767-1782"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144992894","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

Multimodal-based shape optimization of rectangular horns for improved radiation efficiency and directivity control. 基于多模态的矩形喇叭形状优化以提高辐射效率和方向性控制。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039253

Shenyuan Gu, Yue You, Yong Shen

{"title":"Multimodal-based shape optimization of rectangular horns for improved radiation efficiency and directivity control.","authors":"Shenyuan Gu, Yue You, Yong Shen","doi":"10.1121/10.0039253","DOIUrl":"https://doi.org/10.1121/10.0039253","url":null,"abstract":"Rectangular horns are widely used in professional audio applications, but designing horns with desired radiation efficiency and directivity is time-consuming and often relies on empirical methods. A multimodal-based optimization approach is proposed in this study and can simultaneously improve the radiation efficiency and directivity control of rectangular horns over a wide frequency range. Based on acoustical properties accurately simulated by a discrete model, the terms in the objective function are constructed to measure radiation efficiency, penalize jagged shapes, and improve directivity control. To meet practical requirements, directivity control is achieved through two strategies: maintaining a flat directivity pattern for constant directivity and precisely adjusting coverage. The optimization problem is solved by a gradient-based algorithm, with the gradient derived as algebraic expressions. Numerical studies validate the effectiveness of the optimization method and systematically investigate the individual impacts of each objective function term on the horn's shape and performance. Finally, a rectangular horn exhibiting high radiation efficiency, constant directivity, and different coverage in the horizontal and vertical planes is obtained with moderate weight coefficients. The proposed method enables direct horn shape design based on performance requirements and provides an alternative to conventional design approaches.","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"158 3","pages":"1962-1975"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145030226","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 data-driven two-microphone method for in situ sound absorption measurements of porous materialsa). 一种用于多孔材料原位吸声测量的数据驱动双传声器方法[j]。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039101

Leon Emmerich, Patrik Aste, Eric Brandão, Mélanie Nolan, Jacques Cuenca, U Peter Svensson, Marcus Maeder, Steffen Marburg, Elias Zea

{"title":"A data-driven two-microphone method for in situ sound absorption measurements of porous materialsa).","authors":"Leon Emmerich, Patrik Aste, Eric Brandão, Mélanie Nolan, Jacques Cuenca, U Peter Svensson, Marcus Maeder, Steffen Marburg, Elias Zea","doi":"10.1121/10.0039101","DOIUrl":"10.1121/10.0039101","url":null,"abstract":"This work presents a data-driven approach to estimating the sound absorption coefficient of an infinite porous slab using a neural network and a two-microphone measurement on a finite porous sample. A one-dimensional-convolutional network predicts the sound absorption coefficient from the complex-valued transfer function between the sound pressure measured at the two microphone positions. The network is trained and validated with numerical data generated by a boundary element model using the Delany-Bazley-Miki model, demonstrating accurate predictions for various numerical samples. The method is experimentally validated with baffled rectangular samples of a fibrous material, where sample size and source height are varied. The results show that the neural network offers the possibility to reliably predict the in situ sound absorption of a porous material using the two-microphone method as if the sample were infinite. The normal-incidence sound absorption coefficient obtained by the network compares well with that obtained theoretically and in an impedance tube. The proposed method has promising perspectives for estimating the sound absorption coefficient of acoustic materials after installation and in realistic operational conditions.","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"158 3","pages":"1711-1722"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144958660","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 bi-directional cascaded transformer network for underwater narrowband signal enhancement. 水下窄带信号增强的双向级联变压器网络。

IF 2.3 2区物理与天体物理

Journal of the Acoustical Society of America Pub Date : 2025-09-01 DOI: 10.1121/10.0039112

Lei Zhou, Shihong Zhou, Yubo Qi, Lixin Wu, Zongwei Wu, Fan Yang, Yannick Benezeth

{"title":"A bi-directional cascaded transformer network for underwater narrowband signal enhancement.","authors":"Lei Zhou, Shihong Zhou, Yubo Qi, Lixin Wu, Zongwei Wu, Fan Yang, Yannick Benezeth","doi":"10.1121/10.0039112","DOIUrl":"https://doi.org/10.1121/10.0039112","url":null,"abstract":"The narrowband components of ship-radiated noise are critical for the passive detection and identification of ship targets. However, the intricate underwater environment poses challenges for conventional acoustic signal processing methods, particularly at low signal-to-noise ratios. Previous studies have suggested the use of deep learning for denoising, but there is a significant lack of research on underwater narrowband signals. In response, this paper introduces a bi-directional cascaded transformer network (BCT-Net) with two branches simultaneously extracting features from target signals and ambient noise. Leveraging cascaded attention mechanisms, BCT-Net is able to detect narrowband features at signal-to-noise ratios as low as -20 dB. Through a frequency-guided attention module and bi-directional cross-attention-based interaction module, the BCT-Net excels in the extraction of the target features. This methodology enhances noise suppression by leveraging the interaction of features extracted from both the target and noise branches. Operating at a fine-grained level, the model reconstructs subtle frequency variations while ensuring the separation of the target signals and ambient noise. Ablation experiments underscore the unique contributions of each module, which together significantly enhance denoising performance. Our proposed BCT-Net surpasses the existing methods across various evaluation metrics, emphasizing its superiority when it comes to narrowband signal enhancement.","PeriodicalId":17168,"journal":{"name":"Journal of the Acoustical Society of America","volume":"158 3","pages":"1783-1801"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144992939","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