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Observations and potential mechanisms for tornado infrasound 龙卷风次声的观测及其潜在机制
Pub Date : 2023-01-01 DOI: 10.1121/2.0001784
Brian R. Elbing, Trevor C. Wilson, Christopher E. Petrin, Real J. KC, Taylor Swaim, Bryce Lindsey
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引用次数: 0
Gunshot detection from audio excerpts of urban sounds using transfer learning 使用迁移学习从城市声音的音频摘录中检测枪声
Pub Date : 2023-01-01 DOI: 10.1121/2.0001783
John Irungu, Jamelia Ancel, Wagdy Mahmoud, Max Denis
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引用次数: 0
Temperature-induced sound speed variability in a laboratory water tank 实验室水箱中温度引起的声速变化
Pub Date : 2023-01-01 DOI: 10.1121/2.0001757
Alexandra M. Hopps-McDaniel, T. Neilsen
Temperature variations in the ocean cause changes in the sound speed and, hence, sound propagation. This project quantified the sound speed variation achievable in a laboratory water tank. The rectangular tank has paneling that minimizes lateral reflections. Two temperature sensors measured the temperature changes over time while the water was cooled with ice, heated, and naturally warmed back to room temperature. Sound speed values were calculated using the freshwater Marczak equation. We found that while the temperature remains relatively uniform near the bottom of the tank during heating and cooling. Heating increases the sound speed at a rate of 3.5 m/s per hour, while adding ice in various quantities decreases the temperature rapidly. After rapid cooling, the water near the surface of the tank warms faster than the water near the bottom, creating a depth-dependent sound speed gradient. Eight hours after adding 380 pounds of pebble ice, the sound speed gradient was 10.7 m/s per meter. The water temperature variability in these tank measurements replicates a portion of the sound speed variability seen in the ocean. This sound speed variability can then be used to test the robustness of machine learning algorithms.
海洋温度的变化会引起声速的变化,从而影响声音的传播。本项目量化了在实验室水箱中可实现的声速变化。矩形的水箱有镶板,可以最大限度地减少横向反射。两个温度传感器在水被冰冷却、加热和自然加热到室温的过程中测量温度随时间的变化。利用淡水Marczak方程计算声速值。我们发现,在加热和冷却过程中,罐底附近的温度保持相对均匀。加热使声速以每小时3.5米/秒的速度增加,而加入不同数量的冰会迅速降低温度。在快速冷却之后,水箱表面附近的水比底部附近的水升温更快,从而产生了与深度相关的声速梯度。在加入380磅卵石冰8小时后,声速梯度为每米10.7米/秒。这些水箱测量的水温变化复制了海洋中看到的部分声速变化。这种声速可变性可以用来测试机器学习算法的鲁棒性。
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引用次数: 0
Soundscape evaluation method based on participatory design 基于参与式设计的声景评价方法
Pub Date : 2023-01-01 DOI: 10.1121/2.0001758
Yichun Lu, Siu-Kit Lau
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引用次数: 0
Development and evaluation of windscreen designs for high altitude balloons 高空气球风挡设计的发展与评价
Pub Date : 2023-01-01 DOI: 10.1121/2.0001785
Taylor Swaim, Kate Spillman, Emalee Hough, Zach Yap, Jamey Jacob, Brian Elbing
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引用次数: 0
Wave equations of the two common sediment acoustic theories 两种常用泥沙声学理论的波动方程
Pub Date : 2023-01-01 DOI: 10.1121/2.0001795
Sri Nivas Chandrasekaran, Sverre Holm, Sven Peter Näsholm
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引用次数: 0
Suppressing reverberation in cochlear implant stimulus patterns using time-frequency masks based on phoneme groups. 基于音素群的时频掩模抑制人工耳蜗刺激模式的混响。
Pub Date : 2022-12-01 Epub Date: 2023-02-13 DOI: 10.1121/2.0001698
Kevin Chu, Leslie Collins, Boyla Mainsah

Cochlear implant (CI) users experience considerable difficulty in understanding speech in reverberant listening environments. This issue is commonly addressed with time-frequency masking, where a time-frequency decomposed reverberant signal is multiplied by a matrix of gain values to suppress reverberation. However, mask estimation is challenging in reverberant environments due to the large spectro-temporal variations in the speech signal. To overcome this variability, we previously developed a phoneme-based algorithm that selects a different mask estimation model based on the underlying phoneme. In the ideal case where knowledge of the phoneme was assumed, the phoneme-based approach provided larger benefits than a phoneme-independent approach when tested in normal-hearing listeners using an acoustic model of CI processing. The current work investigates the phoneme-based mask estimation algorithm in the real-time feasible case where the prediction from a phoneme classifier is used to select the phoneme-specific mask. To further ensure real-time feasibility, both the phoneme classifier and mask estimation algorithm use causal features extracted from within the CI processing framework. We conducted experiments in normal-hearing listeners using an acoustic model of CI processing, and the results showed that the phoneme-specific algorithm benefitted the majority of subjects.

人工耳蜗使用者在混响听力环境中理解语音时遇到相当大的困难。这个问题通常通过时频掩蔽来解决,其中时频分解混响信号乘以增益值矩阵来抑制混响。然而,在混响环境下,由于语音信号的频谱-时间变化较大,掩模估计具有挑战性。为了克服这种可变性,我们之前开发了一种基于音素的算法,该算法基于底层音素选择不同的掩码估计模型。在假设知道音素的理想情况下,当使用CI处理的声学模型在听力正常的听众中进行测试时,基于音素的方法比音素独立的方法提供了更大的好处。本文研究了基于音素的掩码估计算法,在实时可行的情况下,使用音素分类器的预测来选择特定音素的掩码。为了进一步保证实时可行性,音素分类器和掩码估计算法都使用从CI处理框架中提取的因果特征。我们在听力正常的听众中进行了CI处理的声学模型实验,结果表明,音素特定算法使大多数受试者受益。
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引用次数: 0
Willis coupling in one-dimensional layered bulk media 一维层状体介质中的Willis耦合
Pub Date : 2022-11-02 DOI: 10.1121/2.0001590
M. Muhlestein
Willis coupling, which couples the constitutive equations of an acoustical material, has been applied to acoustic metasurfaces with promising results. However, less is understood about Willis coupling in bulk media. In this paper a multiple-scales homogenization method is used to analyze the source and interpretation of Willis coupling in one-dimensional bulk media without any hidden degrees of freedom, or one-dimensional layered media. As expected from previous work, Willis coupling is shown to arise from geometric asymmetries, but is further shown to depend greatly on the measurement position. In addition, a discussion of the predicted material properties, including Willis coupling, of macroscopically inhomogeneous media is presented.
威利斯耦合将声学材料的本构方程耦合,已应用于声学超表面,并取得了良好的结果。然而,人们对大容量介质中的Willis耦合了解较少。本文采用多尺度均匀化方法分析了一维无隐自由度体介质或一维层状介质中Willis耦合的来源和解释。正如先前工作中所预期的那样,Willis耦合被证明是由几何不对称引起的,但进一步证明在很大程度上取决于测量位置。此外,还讨论了宏观非均匀介质的预测材料性质,包括威利斯耦合。
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引用次数: 0
The use of total harmonic distortion to capture dynamics and spectral characteristics in tribology experiments 在摩擦学实验中,利用总谐波畸变捕捉动力学和光谱特性
Pub Date : 2022-01-01 DOI: 10.1121/2.0001674
I. Lawal, M. Haberman, M. Brake
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引用次数: 0
Calibrated processing for improved synthetic aperture sonar imagery 改进合成孔径声纳图像的校准处理
Pub Date : 2022-01-01 DOI: 10.1121/2.0001599
B. Bonnett, H. Schmaljohann, T. Fickenscher
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引用次数: 0
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