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Three-dimensional sound field reconstruction from optical projections using physics-informed neural networks. 利用物理信息神经网络从光学投影中重建三维声场。
IF 1.2
JASA express letters Pub Date : 2025-06-01 DOI: 10.1121/10.0036816
Rikuto Ito, Kenji Ishikawa, Risako Tanigawa, Yasuhiro Oikawa
{"title":"Three-dimensional sound field reconstruction from optical projections using physics-informed neural networks.","authors":"Rikuto Ito, Kenji Ishikawa, Risako Tanigawa, Yasuhiro Oikawa","doi":"10.1121/10.0036816","DOIUrl":"https://doi.org/10.1121/10.0036816","url":null,"abstract":"<p><p>The implicit representation by physics-informed neural networks (PINNs) serves as an effective solution for a key challenge faced by optical sound measurements. Since optical sound measurements observe line integral of the sound pressure along the optical path, reconstruction is necessary to determine the sound pressure at each point in the three-dimensional field. In this paper, we expand the PINNs-based reconstruction method into three-dimensional reconstruction and demonstrate its effectiveness for optically measured sound fields. Furthermore, we propose a reconstruction approach which can estimate solutions well outside the bounds of the data used for training.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 6","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144201003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Blind weak signal detection via dictionary learning in time-spreading distortion channels using vector sensors. 基于矢量传感器的扩频失真信道字典学习盲弱信号检测。
IF 1.2
JASA express letters Pub Date : 2025-06-01 DOI: 10.1121/10.0036919
Rami Rashid, Ali Abdi, Zoi-Heleni Michalopoulou
{"title":"Blind weak signal detection via dictionary learning in time-spreading distortion channels using vector sensors.","authors":"Rami Rashid, Ali Abdi, Zoi-Heleni Michalopoulou","doi":"10.1121/10.0036919","DOIUrl":"10.1121/10.0036919","url":null,"abstract":"<p><p>This paper presents a blind passive signal detection method for underwater sparse time-spreading distortion (TSD) channels, employing a dictionary learning (DL) algorithm. This approach estimates and separates the unknown signal from the unknown channel impulse response. A log-likelihood ratio detector is derived and utilized for sparse TSD channels. Simulations and underwater experiments with a vector sensor are conducted to evaluate the performance of the proposed DL-based blind passive method and compare it with other approaches. The improved detection probabilities achieved by this blind method demonstrate its effectiveness in the detection of unknown signals within TSD channels.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 6","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adaptive physics-informed neural networks for underwater acoustic field predictiona). 用于水声场预测的自适应物理信息神经网络。
IF 1.2
JASA express letters Pub Date : 2025-06-01 DOI: 10.1121/10.0036834
Zhengyi Li, Ting Zhang, Lei Cheng
{"title":"Adaptive physics-informed neural networks for underwater acoustic field predictiona).","authors":"Zhengyi Li, Ting Zhang, Lei Cheng","doi":"10.1121/10.0036834","DOIUrl":"https://doi.org/10.1121/10.0036834","url":null,"abstract":"<p><p>This paper introduces an adaptive physics-informed neural network for predicting underwater pressure fields. A gradient-based adaptive weighting method is proposed to address the imbalance between physics-constrained and data-fidelity terms, effectively capturing complex field structures and preserving important modal features. The origin of this imbalance is also analyzed, providing insight into the limitations of fixed-weight approaches. Validated through simulations and experimental data, this method demonstrates accurate predictions across pressure fields with varying structures and frequencies, including complex multimodal patterns. The results highlight the robustness and effectiveness of this adaptive approach, making it a promising solution for practical underwater acoustic field reconstruction.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 6","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144200999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effects of reference sound speed on underwater acoustic direction-of-arrival estimation with horizontal plane array. 参考声速对水声到达方向估计的影响。
IF 1.2
JASA express letters Pub Date : 2025-06-01 DOI: 10.1121/10.0036837
Feitong Chen, Lianghao Guo, Yuhan Liu, Jianjun Liu, Weiyu Zhang, Jiapeng Song, Ge Dong
{"title":"Effects of reference sound speed on underwater acoustic direction-of-arrival estimation with horizontal plane array.","authors":"Feitong Chen, Lianghao Guo, Yuhan Liu, Jianjun Liu, Weiyu Zhang, Jiapeng Song, Ge Dong","doi":"10.1121/10.0036837","DOIUrl":"https://doi.org/10.1121/10.0036837","url":null,"abstract":"<p><p>Direction-of-arrival (DOA) estimation of an underwater acoustic target is usually dependent on the selection of reference sound speed. For a horizontal line array, severe error of DOA estimation is induced when reference sound speed diverges from phase velocity. For a horizontal plane array, this work investigates the effects of reference sound speed on DOA estimation based on normal-mode theory, finding an independence between estimated azimuth and reference sound speed. Simulated and experimental results demonstrate that azimuth can be unbiasedly estimated and is irrelevant to reference sound speed below an upper bound in environments with various sound speed profiles.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 6","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144210414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Automatic detection of Parkinsonian speech using wavelet scattering features. 基于小波散射特征的帕金森语音自动检测。
IF 1.2
JASA express letters Pub Date : 2025-05-01 DOI: 10.1121/10.0036660
Mittapalle Kiran Reddy, Paavo Alku
{"title":"Automatic detection of Parkinsonian speech using wavelet scattering features.","authors":"Mittapalle Kiran Reddy, Paavo Alku","doi":"10.1121/10.0036660","DOIUrl":"https://doi.org/10.1121/10.0036660","url":null,"abstract":"<p><p>In this paper, we study the automatic detection of Parkinson's disease (PD) from speech using features computed by a two-layer wavelet scattering network, which generates locally stable and translation-invariant features at each layer. The scattering features are encoded using Fisher vectors to obtain a single fixed-size feature vector per utterance. Support vector machine and feed-forward neural network classifiers are trained using the utterance-level features to perform the detection task (healthy vs PD). The results obtained with the PC-GITA database revealed that the proposed approach shows better results in comparison to the state-of-the-art techniques. The best classification accuracy of 87% was achieved with the proposed approach using speech from a text reading task.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 5","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144095848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An ultrasonic digital lock-in probing technique for monitoring fast changes within an elastic body. 一种用于监测弹性体内部快速变化的超声数字锁定探测技术。
IF 1.2
JASA express letters Pub Date : 2025-05-01 DOI: 10.1121/10.0036609
John Y Yoritomo
{"title":"An ultrasonic digital lock-in probing technique for monitoring fast changes within an elastic body.","authors":"John Y Yoritomo","doi":"10.1121/10.0036609","DOIUrl":"https://doi.org/10.1121/10.0036609","url":null,"abstract":"<p><p>A probing technique using ultrasonic waves and a digital lock-in detection scheme is developed to monitor changes within an elastic body. The scheme integrates products of the signal and reference rather than low pass filtering them. Two applications are illustrated: detecting acoustic emissions and monitoring slow dynamic nonlinear elasticity. The probe is capable of resolving the earliest times (<10-3 s) of the slow dynamic recovery and does not suffer distortion from the pump wave.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 5","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144047967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Seasonal dependence of very low frequency basin-scale telemetry observations. 极低频盆地尺度遥测观测的季节依赖性。
IF 1.2
JASA express letters Pub Date : 2025-05-01 DOI: 10.1121/10.0036542
Kay L Gemba, Geoffrey F Edelmann
{"title":"Seasonal dependence of very low frequency basin-scale telemetry observations.","authors":"Kay L Gemba, Geoffrey F Edelmann","doi":"10.1121/10.0036542","DOIUrl":"https://doi.org/10.1121/10.0036542","url":null,"abstract":"<p><p>Underwater position, navigation, and timing messages are transmitted to moored, single acoustic receivers over basin-scale distances. At a 75 Hz center frequency, the lengthy coherence time allows for successive and long-duration symbol transmissions. Analysis of 2700 M-sequence transmissions from Kauai to receiver H11S2 near Wake Island over a 1.5 yr duration and a nominal 3500 km distance yields a mean channel capacity of 0.028 bits/(s Hz). A low signal-to-noise ratio (SNR) telemetry implementation, based on the same data, achieves a raw bitrate of 0.1 bits/s (without preamble and error correction) corresponding to a gross spectral efficiency of 0.0026 bits/(s Hz). By decoding 10 800 transmitted symbols, the empirical probability of symbol error as a function of SNR is determined for three groups of symbols.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 5","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
How the shape of the musical triangle influences its sound. 音乐三角形的形状如何影响它的声音。
IF 1.2
JASA express letters Pub Date : 2025-05-01 DOI: 10.1121/10.0036383
Risako Tanigawa, Kenji Ishikawa, Noboru Harada, Yasuhiro Oikawa
{"title":"How the shape of the musical triangle influences its sound.","authors":"Risako Tanigawa, Kenji Ishikawa, Noboru Harada, Yasuhiro Oikawa","doi":"10.1121/10.0036383","DOIUrl":"https://doi.org/10.1121/10.0036383","url":null,"abstract":"<p><p>Musical triangles, known for their triangular shape with one open end, have fascinated people with their twinkling sound. However, the acoustic factors behind the triangular shape remain unexplained. We discovered that their triangular shape induces a phenomenon conducive to sustained sound. We measured two-dimensional sound fields around musical triangles using an acousto-optic imaging method. Through our analysis, we found that acoustic resonance occurs in the area of semi-open triangular air created by the musical triangle. Consequently, the resonance produces a louder and longer sound. We believe that the resonances are the acoustical reason for the triangular shape.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 5","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143999919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nonlinear acoustic impedance of circular vent holes in miniaturized speakers. 小型化扬声器圆形排气孔的非线性声阻抗。
IF 1.2
JASA express letters Pub Date : 2025-05-01 DOI: 10.1121/10.0036592
Mohammad Mohammadi
{"title":"Nonlinear acoustic impedance of circular vent holes in miniaturized speakers.","authors":"Mohammad Mohammadi","doi":"10.1121/10.0036592","DOIUrl":"https://doi.org/10.1121/10.0036592","url":null,"abstract":"<p><p>Back volume vent holes are designed to boost the low-frequency response of miniaturized electro-acoustic transducers in hearing aids and earphones. The acoustic impedance of these small vent holes considerably alters the frequency response of the speaker. The large built-up pressure within the small back volume of these compact speakers produces high particle velocity through the vent hole, introducing acoustic nonlinearities. These nonlinearities significantly affect the hole impedance, rendering linear prediction models inaccurate. In this work, the impedance of circular holes is calculated for a range of applicable hole sizes and velocities using finite element simulations. Empirical expressions are proposed to find the resistive and reactive components of the impedance as functions of hole diameter, frequency, and particle velocity.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 5","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust automatic train pass-by detection combining deep learning and sound level analysis. 结合深度学习和声级分析的强大的自动列车通过检测。
IF 1.2
JASA express letters Pub Date : 2025-05-01 DOI: 10.1121/10.0036754
Erwann Betton-Ployon, Abbes Kacem, Jérôme Mars, Nadine Martin
{"title":"Robust automatic train pass-by detection combining deep learning and sound level analysis.","authors":"Erwann Betton-Ployon, Abbes Kacem, Jérôme Mars, Nadine Martin","doi":"10.1121/10.0036754","DOIUrl":"https://doi.org/10.1121/10.0036754","url":null,"abstract":"<p><p>The increasing needs for controlling high noise levels motivate development of automatic sound event detection and classification methods. Little work deals with automatic train pass-by detection despite a high degree of annoyance. To this matter, an innovative approach is proposed in this paper. A generic classifier identifies vehicle noise on the raw audio signal. Then, combined short sound level analysis and mel-spectrogram-based classification refine this outcome to discard anything but train pass-bys. On various long-term signals, a 90% temporal overlap with reference demarcation is observed. This high detection rate allows a proper railway noise contribution estimation in different soundscapes.</p>","PeriodicalId":73538,"journal":{"name":"JASA express letters","volume":"5 5","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144095954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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