A deep-sea direct sound ranging method based on effective sound velocity estimation for turning ray [0.03%]
基于有效声速估计的深海直达声波定位法研究转射声线问题
Chiyu Cheng,Cuie Zheng,Xiaoping Hong
Chiyu Cheng
The complexity of deep-sea acoustic ray bending is positively correlated with propagation distance, typically turning beyond 10 km. Existing ranging correction methods fail under turning conditions, limiting ranging accuracy. This letter pr...
Occlusion and height estimation using the coherence of multi-static synthetic aperture sonar images [0.03%]
基于多站合成孔径声呐图像相干性的遮蔽与高度估计方法研究
Thomas E Blanford
Thomas E Blanford
Objects in synthetic aperture sonar imagery that lie proud above an interface will occlude a portion of the background behind it. This occlusion may appear as a shadow in the imagery whose dimensions can be used to infer the height of the o...
Tim Sonnemann,Jan Dettmer,Charles W Holland et al.
Tim Sonnemann et al.
This study presents a probabilistic one-step two-dimensional (2D) inversion method of spherical-wave reflection coefficient data to estimate the range-dependent structure and geoacoustic parameters along a track. The approach of inverting s...
Approximating radiated acoustic power by spherical harmonic decomposition [0.03%]
声波的球谐级数展开及辐射功率的逼近算法研究
Kristian Kvist,Sergey V Sorokin,Jan Balle Larsen
Kristian Kvist
This study enhances the approximation "radiation efficiency varying equivalent radiated power." This is done through introducing a new method for estimating radiation efficiencies, based on spherical harmonic decomposition. The proposed imp...
Three-dimensional sound field reconstruction from optical projections using physics-informed neural networks [0.03%]
基于物理信息神经网络的光学投影三维声场重建方法
Rikuto Ito,Kenji Ishikawa,Risako Tanigawa et al.
Rikuto Ito et al.
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 al...
A data augmentation approach for an automatic speech recognition system using laser Doppler vibrometer technology [0.03%]
基于激光测振技术的端到端语音识别数据增强方法
Ji-Yan Han,Po-Hsun Huang,Ruei-Ci Shen et al.
Ji-Yan Han et al.
In challenging conditions such as low signal-to-noise ratios and distant speech, microphone-based automatic speech recognition (ASR) struggles with clarity. To remedy this, laser Doppler vibrometer (LDV) technology is integrated into the AS...
Robust automatic train pass-by detection combining deep learning and sound level analysis [0.03%]
基于深度学习和声音电平分析的鲁棒列车经过检测方法
Erwann Betton-Ployon,Abbes Kacem,Jérôme Mars et al.
Erwann Betton-Ployon et al.
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 ...
Automatic detection of Parkinsonian speech using wavelet scattering features [0.03%]
基于小波散射特征的帕金森氏症语音自动检测方法研究
Mittapalle Kiran Reddy,Paavo Alku
Mittapalle Kiran Reddy
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 ...
Brian Polagye,Aidan Hunt,Landon Mackey et al.
Brian Polagye et al.
Radiated noise from marine energy harvesting is of environmental and engineering interest. Here, drifting hydrophones measure underwater noise in the vicinity of a relatively small wave energy converter. A statistical approach is demonstrat...
Aeroacoustic source characterization at fan test facility with spherical harmonics of the half-space [0.03%]
基于半空间球谐函数的风扇试验台气动声源特征识别
Michail Vourakis,Franz Zotter,Eric Brandão et al.
Michail Vourakis et al.
Acoustic measurements of sources in non-ideal acoustic environments, often the case in industrial product development, issue challenges in source characterization. This study investigates the room-acoustical effects of a bespoke fan test fa...