Статті в журналах: "Moving Sound Source"

1

Kim, Hyun-Don, Kazunori Komatani, Tetsuya Ogata, and Hiroshi G. Okuno. "Binaural Active Audition for Humanoid Robots to Localise Speech over Entire Azimuth Range." Applied Bionics and Biomechanics 6, no. 3-4 (2009): 355–67. http://dx.doi.org/10.1155/2009/817874.

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We applied motion theory to robot audition to improve the inadequate performance. Motions are critical for overcoming the ambiguity and sparseness of information obtained by two microphones. To realise this, we first designed a sound source localisation system integrated with cross-power spectrum phase (CSP) analysis and an EM algorithm. The CSP of sound signals obtained with only two microphones was used to localise the sound source without having to measure impulse response data. The expectation-maximisation (EM) algorithm helped the system to cope with several moving sound sources and reduce localisation errors. We then proposed a way of constructing a database for moving sounds to evaluate binaural sound source localisation. We evaluated our sound localisation method using artificial moving sounds and confirmed that it could effectively localise moving sounds slower than 1.125 rad/s. Consequently, we solved the problem of distinguishing whether sounds were coming from the front or rear by rotating and/or tipping the robot's head that was equipped with only two microphones. Our system was applied to a humanoid robot called SIG2, and we confirmed its ability to localise sounds over the entire azimuth range as the success rates for sound localisation in the front and rear areas were 97.6% and 75.6% respectively.

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2

Makino, Yusuke, and Yasushi Takano. "Sound source directivity considering source movement." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 4 (February 1, 2023): 3579–89. http://dx.doi.org/10.3397/in_2022_0505.

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When the source moves, frequency modulation (Doppler effect) occurs in the radiated sound, and the directivity of source changes. In addition, the source can be not located in a direction from the direction of arrival of radiated sound. Therefore, the sound pressure directivity may differ depending on whether the source is static or moving. There are two types of wave equations, one that describes sound pressure as a variable and one that describes velocity potential as a variable. When the sound source moves at a constant velocity and the equation is solved assuming that the source strength is constant with respect to the velocity, the sound pressure directivity of the radiated sound changes depending on the description method of the wave equation. The sound pressure was obtained by solving the wave equations where a single monopole source and a dipole source are moving at a constant velocity. From the results, we showed the difference of sound pressure directivity when source is moving from the directivity of static source.

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3

Заєць, Віталій Пантелєйович, and Светлана Геннадьевна Котенко. "Sound of the moving point source." Electronics and Communications 20, no. 4 (May 30, 2016): 89–93. http://dx.doi.org/10.20535/2312-1807.2015.20.4.70074.

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4

Liu, Lili, Jinghua Li, Xiaoyi Feng, Haijie Shi, and Xiaobiao Zhang. "Research on underwater sound source ranging algorithm based on histogram filtering." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 3 (June 2021): 492–501. http://dx.doi.org/10.1051/jnwpu/20213930492.

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Aiming at the distance measurement of moving sound sources in shallow seas, this paper proposes a method of histogram filtering to realize underwater distance estimation of moving sound sources in shallow seas. The algorithm used the transmission loss, target motion parameter in the sound propagation and receival signal as prior knowledge to updated the state vector of the sound source, so as to realize the distance estimation of the shallow sea sound source, and this paper used SwellEx-96 database for experimental verification. The experimental results shown that: the depth estimating error of moving sound source is small, and when the detected horizontal distance is in the range of 10 km, the maximum range error of the horizontal distance is ±10 m, meanwhile the accuracy of ranging can be improved by improving the prior knowledge of the target motion parameters, which verifies that the histogram filtering algorithm can achieve better ranging for underwater moving targets.

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5

Akutsu, Mariko, Toki Uda, Yasuhiro Oikawa, and Kohei Yatabe. "Experimental observation of the sound field around a moving source using parallel phase-shifting interferometry." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 4 (February 1, 2023): 3733–39. http://dx.doi.org/10.3397/in_2022_0525.

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Railway noise is still one of the issues in the wayside environment despite of various countermeasures. For effective countermeasures, it is important to reveal characteristics of sound sources and sound propagation. Using parallel phase-shifting interferometry (PPSI) which measure the air density by interfering the reference light with object light, we tried to observe the sound field around a moving source. This system utilize laser and high-speed camera makes it possible to observe unstedy phenomena and visualize sound waves accurately. As a moving source, a speaker emitting 40kHz sinusoidal sound was mounted on a model, and the model was launched at 100 km/h. As A result, we succeed in observing the sound waves generated from the moving source clearly and visualizing the frequency modulation by Doppler effect. Furthermore, the result was averaged in sub-pixel to understand easily. These results clearly show the difference in frequency depending on the relative position to the sound source as it is in theory.

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6

Alkmim, Mansour, Guillaume Vandernoot, Jacques Cuenca, Karl Janssens, Wim Desmet, and Laurent De Ryck. "Real-time sound synthesis of pass-by noise: comparison of spherical harmonics and time-varying filters." Acta Acustica 7 (2023): 37. http://dx.doi.org/10.1051/aacus/2023029.

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This paper proposes and compares two sound synthesis techniques to render a moving source for a fixed receiver position based on indoor pass-by noise measurements. The approaches are based on the time-varying infinite impulse response (IIR) filtering and spherical harmonics (SH) representation. The central contribution of the work is a framework for realistic moving source sound synthesis based on transfer functions measured using static far-field microphone arrays. While the SHs require a circular microphone array and a free-field propagation (delay, geometric spread), the IIR filtering relies on far-field microphones that correspond to the propagation path of the moving source. Both frameworks aim to provide accurate sound pressure levels in the far-field that comply with standards. Moreover, the frameworks can be extended to additional sources and filters (e.g. sound barriers) to create different moving source scenarios by removing the room size constraint. The results of the two sound synthesis approaches are preliminary evaluated and compared on a vehicle pass-by noise dataset and it is shown that both approaches are capable of accurately and efficiently synthesize a moving source.

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7

Sam Hun, Hanisah, Siti Norulakmal Che Abu Bakar, and Anis Nazihah Mat Daud. "Acoustic Doppler effect experiment: integration of frequency sound generator, tracker and visual analyser." Physics Education 58, no. 2 (January 26, 2023): 025015. http://dx.doi.org/10.1088/1361-6552/acb129.

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Abstract This study was conducted to design an acoustic Doppler effect experimental setup by integrating the frequency sound generator application, tracker and visual analyser. The experimental setup was evaluated by determining the frequency of the sound source in four cases; (a) a stationary observer and a moving sound source, (b) a stationary sound source and a moving observer, (c) a sound source and an observer are moving in the same direction and (d) a sound source and an observer are moving in the opposite direction. The findings showed that the percentage errors for the calculated values of the sound source frequency were less than 0.40% compared to the reference values for all four cases. Hence, the proposed acoustic Doppler effect experimental setup can be used to improve the acoustic Doppler effect concept among students.

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8

Sasaki, Yo, Kentaro Matsui, and Yasushige Nakayama. "Synthesis of sound field from moving complex sources with arbitrary trajectories by linear and spherical loudspeaker arrays." Journal of the Acoustical Society of America 154, no. 1 (July 1, 2023): 571–88. http://dx.doi.org/10.1121/10.0020268.

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The spectral division method (SDM) and near-field compensated higher order ambisonics (NFC-HOA) are sound field synthesis techniques based on the spatial Fourier representation of sound fields. Previous studies have derived the driving functions of SDM for sound field synthesis with consideration to uniformly moving point sources and moving point sources with arbitrary trajectories. However, the driving functions of NFC-HOA for synthesizing sound fields from moving sound sources have not been proposed to date. For a more realistic auditory experience, the synthesis of a sound field produced by a moving sound source with a complex radiation property is required. This study focused on deriving the driving functions for synthesizing sound fields produced by moving sound sources with arbitrary trajectories and radiation properties. Sound fields were formulated in the angular spectrum and spherical harmonic domains and applied to SDM and NFC-HOA, respectively. Numerical and measurement experiments were conducted to evaluate the proposed method. The results reveal that the proposed method can synthesize the desired sound fields.

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9

Han, Jong-Ho. "Tracking Control of Moving Sound Source Using Fuzzy-Gain Scheduling of PD Control." Electronics 9, no. 1 (December 21, 2019): 14. http://dx.doi.org/10.3390/electronics9010014.

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This paper proposes fuzzy gain scheduling of proportional differential control (FGS-PD) system for tracking mobile robot to moving sound sources. Given that the target positions of the real-time moving sound sources are dynamic, the mobile robots should be able to estimate the target points continuously. In such a case, the robots tend to slip owing to abnormal velocities and abrupt changes in the tracking path. The selection of an appropriate curvature along which the robot follows a sound source makes it possible to ensure that the robot reaches the target sound source precisely. For enabling the robot to recognize the sound sources in real time, three microphones are arranged in a straight formation. In addition, by applying the cross correlation algorithm to the time delay of arrival base, the received signals can be analyzed for estimating the relative positions and velocities of the mobile robot and the sound source. Even if the mobile robot is navigating along a curved path for tracking the sound source, there could be errors due to the inertial and centrifugal forces resulting from the motion of the mobile robot. Velocities of both robot wheels are controlled using FGS-PD control to compensate for slippage and to minimize tracking errors. For experimentally verifying the efficacy of the proposed the control system with sound source estimation, two mobile robots were fabricated. It was demonstrated that the proposed control method effectively reduces the tracking error of a mobile robot following a sound source.

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10

Bryukhovetski, Anatoliy, and Aleksey Vichkan'. "Determination of the green function of a pulsed acoustic source in a uniform homogeneous flow with an arbitrary Mach number." EUREKA: Physics and Engineering, no. 1 (January 19, 2023): 165–76. http://dx.doi.org/10.21303/2461-4262.2023.002743.

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The wave field created by a pulsed point source of sound in a uniform homogeneous flow with an arbitrary value of the Mach number is theoretically studied. The aim of research is to obtain an analytical dependence of the sound field on physical parameters. The space-waveguide Fourier expansion of the sound field is used to solve the Cauchy problem for the wave equation in a reference frame moving together with the medium. It is only necessary to transform the spatiotemporal dependence of the source, given in a fixed frame of reference, to a dependence in a moving frame of reference. The transition to the description of the solution in the frame of reference, relative to which the medium moves at a constant velocity, is made taking into account the main properties of the generalized Dirac δ-function. Analytical dependences of the sound field on physical parameters are obtained for both subsonic and supersonic flows. A comparison is made with the results of calculations for the case of a pulsed point source moving in a medium at rest. The solution obtained in this work for the case of an impulsive source moving in a medium at rest made it possible to trace its connection with the Green's function for a stationary source in a moving medium. The analytical dependence of the obtained solution for the Green's function makes it possible to write down the explicit form of the "characteristic solution surface", that is, the "wave front". It is shown that the difference between the solutions for subsonic and supersonic motion is characterized by the position of the source relative to the moving wavefront. The calculation results can be used to describe the sound field created by an arbitrary spatiotemporal distribution of sound sources

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11

Ishihara, Manabu, Makoto Matsuo, and Jun Shirataki. "Estimation of Median-Plane Moving Sound Images by Analytic Hierarchy Process - Headphones -." Journal of Robotics and Mechatronics 10, no. 1 (February 20, 1998): 62–68. http://dx.doi.org/10.20965/jrm.1998.p0062.

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In this study, we used noise as a sound source and defined the source volume as sound pressure. We analyzed by AHP the relationship between sonority and sound pressure of the median front and surroundings, and have identified its auditory sensation. Results showed that the farther away a sound heard by the subject from the center, the worse the consistency index. The consistency index was 0.1-0.9 in such a case. That is, the consistency index when sound moved away from the median front. In addition, the consistency index was found to be 0.10-0.27 in the median front after correction was added to an up-down sound image mistaken inversely. The consistency index was 0.12-0.24 when sound sources were in the same direction and 0.16-0.63 when sources were in different directions. Correction was recognized in experiment results, but consistency worsens when sound moved away from the center. Satisfactory correction can be expected only in correction of the median front.

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12

Neelon, M. F., and Rick L. Jenison. "Estimating the spectrum of a moving sound source." Journal of the Acoustical Society of America 102, no. 5 (November 1997): 3141. http://dx.doi.org/10.1121/1.420674.

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13

Suzuki, Junya, Shingo Morii, Hiroaki Shinohara, and Shigeki Hirobayashi. "Presenting Alphabet's Shapes by A Moving Sound Source." Journal of The Institute of Image Information and Television Engineers 67, no. 12 (2013): J441—J447. http://dx.doi.org/10.3169/itej.67.j441.

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14

Wei, Wei, and Robert Hickling. "Measuring the sound power of a moving source." Journal of the Acoustical Society of America 97, no. 1 (January 1995): 116–20. http://dx.doi.org/10.1121/1.412327.

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15

Miao, Feng, Diange Yang, Junjie Wen, and Xiaomin Lian. "Moving sound source localization based on triangulation method." Journal of Sound and Vibration 385 (December 2016): 93–103. http://dx.doi.org/10.1016/j.jsv.2016.09.001.

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16

Elias, Bartholomew. "Dynamic Auditory Preview for Visually Guided Target Aiming." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 21 (October 1995): 1415–19. http://dx.doi.org/10.1177/154193129503902112.

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The effects of a dynamic auditory preview display were examined in a visual target aiming task. A moving sound stimulus aligned with a visual target was presented over various distances beyond the bounds of a visual display. Results indicated reduced error magnitudes in aimed responses to visual targets with increasing auditory preview distance. In subsequent testing, the effects of position and velocity misalignments between the sound source and the visual target were assessed. In position misalignment conditions where the sound source lagged behind the visual target, higher error magnitudes were observed. However, when the auditory display preceded the visual target, performance improved. In velocity mismatch conditions, responses toward fast moving targets improved when a relatively faster sound source was previewed but were disrupted when a slower sound source was previewed. On the contrary, responses toward slow moving targets improved when a relatively slower sound source was previewed and were disrupted when a faster sound source was previewed.

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17

Tanabe, Ryo, Yoko Sasaki, and Hiroshi Takemura. "Probabilistic 3D Sound Source Mapping System Based on Monte Carlo Localization Using Microphone Array and LIDAR." Journal of Robotics and Mechatronics 29, no. 1 (February 20, 2017): 94–104. http://dx.doi.org/10.20965/jrm.2017.p0094.

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[abstFig src='/00290001/09.jpg' width='300' text='3D sound source environmental map' ] The study proposes a probabilistic 3D sound source mapping system for a moving sensor unit. A microphone array is used for sound source localization and tracking based on the multiple signal classification (MUSIC) algorithm and a multiple-target tracking algorithm. Laser imaging detection and ranging (LIDAR) is used to generate a 3D geometric map and estimate the location of its six-degrees-of-freedom (6 DoF) using the state-of-the-art gyro-integrated iterative closest point simultaneous localization and mapping (G-ICP SLAM) method. Combining these modules provides sound detection in 3D global space for a moving robot. The sound position is then estimated using Monte Carlo localization from the time series of a tracked sound stream. The results of experiments using the hand-held sensor unit indicate that the method is effective for arbitrary motions of the sensor unit in environments with multiple sound sources.

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18

Soskic, Andjela, Marija Stublincevic, and Oliver Toskovic. "See no isotropy, hear no isotropy: Perceived distance anisotropy in auditory space." Psihologija, no. 00 (2023): 8. http://dx.doi.org/10.2298/psi220704008s.

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The aim of the present study was to investigate whether the tendency to perceive vertical distances as larger than horizontal ones, called the anisotropy of perceived distance, exists in the auditory modality, too. We performed two experiments in which participants (16+20) had a task to match distances of two sound sources, positioned on horizontal and vertical axes, on three egocentric distances. Besides that, in the second experiment, we varied the head moving towards a sound source (with and without) and sound dispersion around the head (with or without a box-like frame around the head). Results showed that participants managed to differentiate sound source distances, but the effects of head moving (proprioceptive information) and sound dispersion around the head were not obtained. Finally, results showed differences in matched distances between two directions. Distances of the vertical sound source were systematically perceived as larger than physically equal horizontal ones, which coincide with findings from previous studies, related to visual or proprioceptive distance estimates.

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19

Cai, Yetian, Xiaoqin Liu, Yanjiao Xiong, and Xing Wu. "Three-Dimensional Sound Field Reconstruction and Sound Power Estimation by Stereo Vision and Beamforming Technology." Applied Sciences 11, no. 1 (December 24, 2020): 92. http://dx.doi.org/10.3390/app11010092.

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The size of the sound field reconstruction area has an important influence on the beamforming sound source localization method and determines the speed of reconstruction. To reduce the sound field reconstruction area, stereo vision technology is introduced to continuously obtain the three-dimensional surface of the target and reconstruct the sound field on it. The fusion method can quickly locate the three-dimensional position of the sound source, and the computational complexity of this method is mathematically analyzed. The sound power level can be estimated dynamically by the sound intensity scaling method based on beamforming and the depth information of the sound source. Experimental results in a hemi-anechoic chamber show that this method can quickly identify the three-dimensional position of the moving source. When the depth of the moving sound source changes, the estimated sound power is more stable than the sound pressure on the microphone.

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20

Kato, Yumiko O., Koshi Mikami, Yasuhiro Miyamoto, Shoji Watanabe, and Izumi Koizuka. "Vestibulo-ocular reflex adaptation to moving virtual sound source." Equilibrium Research 72, no. 3 (2013): 156–62. http://dx.doi.org/10.3757/jser.72.156.

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21

Go, Yeong-Ju, Jaehyung Lee, Jong-Soo Choi, and Jae-Hyoun Ha. "Localization of Moving Sound Source Using Various Beamforming Methods." Transactions of the Korean Society for Noise and Vibration Engineering 26, no. 5 (October 20, 2016): 501–10. http://dx.doi.org/10.5050/ksnve.2016.26.5.501.

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22

Berthelot, Yves H., and Ilene J. Busch‐Vishniac. "Thermoacoustic radiation of sound by a moving laser source." Journal of the Acoustical Society of America 81, no. 2 (February 1987): 317–27. http://dx.doi.org/10.1121/1.394952.

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23

Chang, Ji‐Ho, and Yang‐Hann Kim. "A method to make a moving virtual sound source." Journal of the Acoustical Society of America 120, no. 5 (November 2006): 3212. http://dx.doi.org/10.1121/1.4788136.

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24

Enflo, B. O. "Nonlinear sound waves from a uniformly moving point source." Journal of the Acoustical Society of America 77, no. 6 (June 1985): 2054–60. http://dx.doi.org/10.1121/1.391779.

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25

Akutsu, Mariko, Toki Uda, Kohei Yatabe, and Yasuhiro Oikawa. "Visualization of sound wave from high-speed moving source." Acoustical Science and Technology 43, no. 6 (November 1, 2022): 339–41. http://dx.doi.org/10.1250/ast.43.339.

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26

ROSENHOUSE, G., and N. PELED. "DYNAMIC SIMULATION OF SOUND FIELD CREATED BY A MOTION OF A MONOPOLE ALONG A CURVED PATH AND RELATED PHYSICAL PHENOMENA." Journal of Computational Acoustics 01, no. 02 (June 1993): 287–302. http://dx.doi.org/10.1142/s0218396x93000159.

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The paper deals with sound fields created by sources moving along a curved path in the open atmosphere. The theory presented here is used for computer simulation in time steps in order to discover some general acoustic phenomena which appear during the motion of the sound source. Specifically, the modified "Doppler effect" of such motions is investigated rather than the motion along a straight line (which is a specific case). This includes the influence of condensation and rarefication of the sound waves on the amplitudes in front and behind the source. Conclusively, it has been found that generalization of the sound field radiated by a moving source along a straight line to motion along curved lines does not avoid a clear appearance of the known "Doppler effect". Enhancement 01 weakening of the waves is distinguished in a manner similar to that of a motion along a straight line, as related to the actual location of the source. Finally, examples of motion of a sound source along a circular orbit, a parabolic orbit, and others in the free space illustrate the proposed approach and highlight the possibility of its use.

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27

Noh, Hee-Min. "Noise-source identification of a high-speed train by noise source level analysis." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 231, no. 6 (March 29, 2016): 717–28. http://dx.doi.org/10.1177/0954409716640310.

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In this study, noise-source identification of a high-speed train was conducted using a microphone array system. The actual sound pressure level analysis of the noise source was performed using scaling factors between the real sound pressure and the beam-power output based on the assumption that the integrated area of the main beam-power lobe is equal to half that of the actual sound pressure of the noise source. Then, the scaling factors for the 144-channel microphone array were derived from analysis of the array response function, and a verification experiment was conducted using a known noise source, an air horn, located on a high-speed train moving at 240 km/h. After the verification test, noise-source identification of the high-speed train was conducted. Based on the resulting noise map of the high-speed train moving at 390 km/h, the main noise sources were determined to be the inter-coach spacing, wheels, and pantograph. The noise generated by the pantograph was then investigated in more detail. It was concluded that the pan head of the pantograph was the main noise source at a frequency of 1000 Hz.

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Makino, Yusuke, and Yasushi Takano. "Effect of sound source movement at low Mach number on radiated noise level." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (August 1, 2021): 3731–37. http://dx.doi.org/10.3397/in-2021-2503.

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Change in A-weighted sound pressure level or Noise level of radiated sound due to sound sources moving at low Mach number at the same speed along a straight track is discussed in this paper. When a sound source move, frequency and amplitude modulation is observed in the radiated sound field. Without their modulation, the noise level at a receiving point is determined only by distance and A-weighted sound power level of each sources. Solution of modulated frequency and amplitude of radiated sound can be obtained by using the Duhamel's efficient calculation. The modulated frequency and amplitude increase for approaching sources and decrease for receding sources. The difference of maximum noise level,and the equivalent sound level during the sources passing-by, with or without considering the modulation, increases monotonically with respect to source velocity, and independent of distance from the track. This difference increases as dominant frequency band of the sources decreases due to A-weighting below 1 kHz.

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Ericson, Mark A. "Velocity Judgments of Moving Sounds in Virtual Acoustic Displays." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (July 2000): 710–13. http://dx.doi.org/10.1177/154193120004402256.

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A pure tone sound source, moving along a linear left-to-right trajectory, was simulated over headphones. Six attributes of the object motion were varied independently in a randomized block, factorial design experiment. The independent variables included: 1) sound source velocity, 2) distance from the observer, 3) interaural time delays, 4) Doppler frequency shifts, 5) overall intensity and 6) signal duration. Eight listeners estimated the magnitude of the velocity of the simulated moving sound source in miles per hour. Five of the six independent variables were found to make statistically significant (p<.05) contributions to estimates of velocity magnitude. Correct velocity estimates were found to be moderately correlated with the minimal distance between the trajectory path and the observer, Doppler frequency shifts, and intensity changes. The simulated velocity of the sound source and interaural time delay variables, although statistically significant, explained less than ten percent of the variance in the data. Implications of these research findings for virtual acoustic display design are discussed.

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St. George, Barrett Victor, and Barbara Cone. "Perceptual and Electrophysiological Correlates of Fixed Versus Moving Sound Source Lateralization." Journal of Speech, Language, and Hearing Research 63, no. 9 (September 15, 2020): 3176–94. http://dx.doi.org/10.1044/2020_jslhr-19-00289.

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Purpose The aims of the study were (a) to evaluate the effects of systematically varied factors of stimulus duration, interaural-level difference (ILD), and direction on perceptual and electrophysiological metrics of lateralization for fixed versus moving targets and (b) to evaluate the hemispheric activity underlying perception of fixed versus moving auditory targets. Method Twelve normal-hearing, young adult listeners were evaluated using perceptual and P300 tests of lateralization. Both perceptual and P300 tests utilized stimuli that varied for type (fixed and moving), direction (right and left), duration (100 and 500 ms), and magnitude of ILD (9 and 18 dB). Listeners provided laterality judgments and stimulus-type discrimination (fixed vs. moving) judgments for all combinations of acoustic factors. During P300 recordings, listeners discriminated between left- versus right-directed targets, as the other acoustic parameters were varied. Results ILD magnitude and stimulus type had statistically significant effects on laterality ratings, with larger magnitude ILDs and fixed type resulting in greater lateralization. Discriminability between fixed versus moving targets was dependent on stimulus duration and ILD magnitude. ILD magnitude was a significant predictor of P300 amplitude. There was a statistically significant inverse relationship between the perceived velocity of targets and P300 latency. Lateralized targets evoked contralateral hemispheric P300 activity. Moreover, a right-hemisphere enhancement was observed for fixed-type lateralized deviant stimuli. Conclusions Perceptual and P300 findings indicate that lateralization of auditory movement is highly dependent on temporal integration. Both the behavioral and physiological findings of this study suggest that moving auditory targets with ecologically valid velocities are processed by the central auditory nervous system within a window of temporal integration that is greater than that for fixed auditory targets. Furthermore, these findings lend support for a left hemispatial perceptual bias and right hemispheric dominance for spatial listening.

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李, 元首. "Study of Moving Sound Source Localization Array in Anechoic Room." Open Journal of Acoustics and Vibration 03, no. 03 (2015): 17–22. http://dx.doi.org/10.12677/ojav.2015.33003.

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32

Vasilenko, Yu A., and L. B. Shestopalova. "Moving sound source discrimination in humans: Mismatch negativity and psychophysics." Human Physiology 36, no. 2 (March 2010): 139–46. http://dx.doi.org/10.1134/s0362119710020039.

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33

Deng, Yiqing, Jiancheng Tao, and Xiaojun Qiu. "Sound radiation into air by a point source moving underwater." Journal of Sound and Vibration 331, no. 20 (September 2012): 4481–87. http://dx.doi.org/10.1016/j.jsv.2012.04.030.

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34

Cox, Weston, and Brian J. Fischer. "Optimal Prediction of Moving Sound Source Direction in the Owl." PLOS Computational Biology 11, no. 7 (July 30, 2015): e1004360. http://dx.doi.org/10.1371/journal.pcbi.1004360.

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35

Tao, Jiancheng, Yiqing Deng, and Xiaojun Qiu. "Performance of active noise barrier with a moving sound source." Journal of the Acoustical Society of America 131, no. 4 (April 2012): 3435. http://dx.doi.org/10.1121/1.4708887.

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36

Zhang, Xiao-Zheng, Chuan-Xing Bi, Yong-Bin Zhang, and Liang Xu. "Sound source identification and sound radiation modeling in a moving medium using the time-domain equivalent source method." Journal of the Acoustical Society of America 137, no. 5 (May 2015): 2678–86. http://dx.doi.org/10.1121/1.4919352.

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37

Ahissar, M., E. Ahissar, H. Bergman, and E. Vaadia. "Encoding of sound-source location and movement: activity of single neurons and interactions between adjacent neurons in the monkey auditory cortex." Journal of Neurophysiology 67, no. 1 (January 1, 1992): 203–15. http://dx.doi.org/10.1152/jn.1992.67.1.203.

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1. Neuronal mechanisms for decoding sound azimuth and angular movement were studied by recordings of several single units in parallel in the core areas of the auditory cortex of the macaque monkey. The activity of 180 units was recorded during the presentation of moving and static sound stimuli. Both the activity of single units and the interactions between neighboring neurons in response to each stimulus were analyzed. 2. Sixty-two percent of the units showed significant modulation of their firing rates as a function of the stimulus azimuth. Contralateral stimuli were preferred by the majority (approximately 60%) of these neurons. Thirty-five percent of the units showed mild but statistically significant modulation of their firing rates, which was specifically attributed to the angular movement of the sound source. 3. Eighty-nine percent of the "movement-sensitive" units were also "azimuth sensitive." The sound source's azimuth determined the pattern of the response components (on, sustained, off), whereas the source's movement affected only the magnitude of these components, typically the sustained component. Most neurons for which the sustained response to static sounds was greater for contralateral than ipsilateral stimuli preferred moving sounds that were moving into the contralateral hemifield. 4. Cross-correlation analysis was carried out for 245 neuron pairs. Cross-correlograms were computed for each pair under all stimulus conditions to allow comparison of the neuronal interactions under the various conditions. The shapes of some correlograms (after subtraction of direct stimulus effects) were dependent on specific stimulus conditions, suggesting that the effective connectivity between these neurons depended on the location and/or movement of the sound stimuli. Furthermore, joint peristimulus time (JPST) analysis indicated that modifications of connectivity may be temporally related to the stimulus and may occur over short periods of time. These results could not have been predicted from analysis of the independent single-unit responses to the stimuli. 5. The data suggest that both firing rates and correlated activity between adjacent neurons in the auditory cortex encode sound location and movement.

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38

Gaunaurd, G. C., and T. J. Eisler. "Classical Electrodynamics and Acoustics: Sound Radiation by Moving Multipoles." Journal of Vibration and Acoustics 119, no. 2 (April 1, 1997): 271–82. http://dx.doi.org/10.1115/1.2889714.

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In classical electrodynamics (CED) P. Dirac used the average of retarded and advanced fields to represent the bound field and their difference to represent the free field in his derivation of the (Lorentz-Dirac) equation of motion for an electron. The latter skew-symmetric combination filtered out the radiation part of the field. It can also be used to derive many properties of the power radiated by acoustic sources, such as angular and frequency distributions. As in CED there is radiation due to source acceleration and radiation patterns exhibit the “headlight effect.” Power radiation patterns are obtained by this approach for point multipoles undergoing various motions. Applications to sound radiation problems from rotating machinery are shown. Numerous computed plots illustrate all cases.

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39

Yu, Liang, Qixin Guo, Ning Chu, and Rui Wang. "Achieving 3D Beamforming by Non-Synchronous Microphone Array Measurements." Sensors 20, no. 24 (December 19, 2020): 7308. http://dx.doi.org/10.3390/s20247308.

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Beamforming technology is an essential method in acoustic imaging or reconstruction, which has been widely used in sound source localization and noise reduction. The beamforming algorithm can be described as all microphones in a plane simultaneously recording the source signal. The source position is then localized by maximizing the result of the beamformer. Evidence has shown that the accuracy of the sound source localization in a 2D plane can be improved by the non-synchronous measurements of moving the microphone array. In this paper, non-synchronous measurements are applied to 3D beamforming, in which the measurement array envelops the 3D sound source space to improve the resolution of the 3D space. The entire radiated object is covered better by a virtualized large or high-density microphone array, and the range of beamforming frequency is also expanded. The 3D imaging results are achieved in different ways: the conventional beamforming with a planar array, the non-synchronous measurements with orthogonal moving arrays, and the non-synchronous measurements with non-orthogonal moving arrays. The imaging results of the non-synchronous measurements are compared with the synchronous measurements and analyzed in detail. The number of microphones required for measurement is reduced compared with the synchronous measurement. The non-synchronous measurements with non-orthogonal moving arrays also have a good resolution in 3D source localization. The proposed approach is validated with a simulation and experiment.

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40

Pereselkov, Sergey A., Venedikt Kuz'kin, Nikolai Ladykin, Dmitry Sotnikov, and Alexey Pereselkov. "Low-frequency holographic signal processing for moving sources separation in shallow water waveguide." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A301. http://dx.doi.org/10.1121/10.0018931.

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The results of numerical modeling of the interferometric signal processing for broadband sources (200–300 Hz) moving in shallow water waveguide is presented in the paper. Each source creates in receiver point a stable interference pattern of the intensity distribution (interferogram) in the frequency-time domain. The 2D Fourier Transformation (2D-FT) is applied to analyze the superposition of several interferograms of the sources moving in waveguide. 2D-FT of interferogram—hologram is superposition of the holograms of the sources moving in waveguide. The source hologram allows to coherently accumulate the sound intensity of the source interferogram in a relatively small area as focal spots. The sources can be separated when the sources holograms spots are not overlapped and thus can be filtered. The information about each source is in separated hologram. So, separated hologram allows to estimate source range, its velocity and direction (S. Pereselkov and V. Kuz’kin, JASA 151(2), 666–676). Within numerical experiment the separation of three noise sources with different intensities moving in different directions with different velocities is considered.The error of estimation of parameters of each source is used as a criterion of resolving efficiency of proposed method. [This study was supported by RFBR 19-29-06075, МК-4846.2022.4.]

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41

Sasaki, Yoko, Masahito Kaneyoshi, Satoshi Kagami, Hiroshi Mizoguchi, and Tadashi Enomoto. "Pitch-Cluster-Map Based Daily Sound Recognition for Mobile Robot Audition." Journal of Robotics and Mechatronics 22, no. 3 (June 20, 2010): 402–10. http://dx.doi.org/10.20965/jrm.2010.p0402.

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This paper presents a sound identification method for a mobile robot in home and office environments. We propose a short-term sound recognition method using Pitch-Cluster-Maps (PCMs) sound database (DB) based on a Vector Quantization approach. A binarized frequency spectrum is used to generate PCMs codebook, which describes a variety of sound sources, not only voice, from short-term sound input. PCMs sound identification requires several tens of milliseconds of sound input, and is suitable for mobile robot applications in which conditions are continuously and dynamically changing. We implemented this in mobile robot audition system using a 32-channel microphone array. Robot noise reduction and sound source tracking using our proposal are applied to robot audition system, and we evaluate daily sound recognition performance for separated sound sources from a moving robot.

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42

Matsui, Kentaro, and Yo Sasaki. "Computational reduction of the spectral division method for synthesizing moving sources by source trajectory approximation." Journal of the Acoustical Society of America 153, no. 1 (January 2023): 159–67. http://dx.doi.org/10.1121/10.0016817.

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This paper proposes a method to reduce the computational cost of the spectral division method that synthesizes moving sources. The proposed method consists of two approximations: that of the secondary source driving function and that of the trajectory of the moving sources. Combining these two approximations simplifies the integral calculations that traditionally appear in the driving functions, replacing them with a correction of the frequency magnitude and phase of the source signals. Numerical simulations and subjective experiments show that the computational cost can be reduced by a factor of 50–100 compared to the conventional method without significantly affecting the synthesized sound field and the sense of localization.

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43

Guan, Yiheng, and Dan Zhao. "Theoretical investigation on the moving flame–sound interaction in a closed-open combustor." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A283. http://dx.doi.org/10.1121/10.0018855.

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Self-excited thermoacoustic instability is highly undesirable for power generation gas turbines, aero-engine afterburners, liquid-fuelled ramjet, and rocket motors. It is typically generated due to the constructive interaction between acoustic perturbations and the flame. It is a general practice to assume that the flame is non-moving and the combustor is typically assumed to be acoustically opened. In this work, we consider a closed-open thermoacoustic combustor with a moving flame. To better understand the physics between the acoustic disturbances and the moving flame, we theoretically investigate the moving flame-sound interaction. We find that the presence of the moving flame can amplitude the gaseous oscillations. Furthermore, the amplification process is shown to depend on the laminar burning velocity on the temperature and density of the combustible gas mixture into which the flame propagates. The sound source is shown to be the quadrupole mode. It radiates very little energy, if the flame dimensions are smaller than the wavelength of the sound produced. The present work shed lights on the sound generation from a moving flame and its interaction with sound.

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44

Kurachi, Shunya, Daisuke Morikawa, and Tatsuya Hirahara. "Measuring sound-image trajectory of a moving sound source approaching a reflective wall in steps." Acoustical Science and Technology 40, no. 4 (July 1, 2019): 273–75. http://dx.doi.org/10.1250/ast.40.273.

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45

Hickling, Robert, and Wei Wei. "Measurement of the sound‐power of a moving source with a vector sound‐intensity probe." Journal of the Acoustical Society of America 95, no. 5 (May 1994): 2955. http://dx.doi.org/10.1121/1.409092.

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46

Pereselkov, Sergey A., Venedikt Kuz'kin, Ilya Kaznacheev, Sergey Tkachenko, and Pavel Rybyanets. "Hologram formation by using vertical antenna in a shallow water waveguide." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A297. http://dx.doi.org/10.1121/10.0016337.

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Holographic signal processing method by using a vertical linear antenna in shallow water is presented in the paper. Offered method of moving source sound field hologram formation by using vertical antenna is based on holographic signal processing of each element of vertical antenna. Sound field of source moving in shallow water waveguide creates a stable interference pattern (interferogram) in the frequency-time domain on each element of vertical antenna. The 2D-FT (2D Fourier transform) of the interferogram is antenna element hologram (AEH). AEH allows to coherently accumulate the sound intensity of the interferogram in a relatively small area as focal spots for each element of antenna. It is shown that the focal spots coordinates on AEH depends upon the source range, velocity, and motion direction. The focal spots coordinates on AEH are same for each element of antenna. The output antenna hologram is formed by superposition AEH. Relationship between focal spot coordinates on the antenna hologram and the source range, velocity, and motion direction are derived in the paper. The results of the numerical experiment of antenna hologram formation for low-frequency (100200 Hz) sound field of source moving in shallow water are presented. The results presented in the paper significantly expand the efficiency of interferometric signal processing in shallow water. [This study was supported by RFBR 19-29-06075, МК-6144.2021.4, and МК-4846.2022.4.]

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47

Pereselkov, Sergey A., Venedikt Kuz'kin, Sergey Tkachenko, Nikolai Ladykin, and Dmitry Sotnikov. "Numerical modeling of the 2D hologram of the low-frequency moving source by using horizontal antenna in a shallow water waveguide." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A299. http://dx.doi.org/10.1121/10.0018926.

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The 2D holographic signal processing method by using a horizontal linear antenna (HLA) in shallow water is considered in the paper. The offered method of moving broad band source sound field hologram formation by using HLA is based on holographic signal processing of each element of HLA. The sound source moving in shallow water waveguide creates a stable interference pattern (interferogram) in the frequency-time domain on each HLA element. The 2D-FT (2D Fourier Transformation) of the interferogram is antenna element hologram (AEH). AEH allows to coherently accumulate the sound intensity of the interferogram in a small area as focal spots for each HLA element. It is shown in paper that the focal spots localization in AEH of HLA depends upon the source range, velocity, and motion direction [S. Pereselkov and V. Kuz’kin, JASA 151(2), 666–676). The output HLA hologram is formed by superposition AEH. Relationship between focal spot coordinates on the HLA hologram and the source range, velocity, and motion direction are derived in the paper. The results of the numerical experiment of HLA hologram formation for low-frequency (100–400 Hz) sound field of source moving in shallow water are presented. The results presented in the paper significantly expand the efficiency of interferometric signal processing in shallow water. [This study was supported by RFBR 19-29-06075, МК-4846.2022.4.]

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48

Pereselkov, Sergey A., Venedikt Kuz'kin, Ilya Kaznacheev, Sergey Tkachenko, and Pavel Rybyanets. "Holographic signal processing for estimation of sound source direction by a vector receiver in shallow water." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A194. http://dx.doi.org/10.1121/10.0015999.

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A holographic signal processing method for estimation of sound source direction of broadband moving sound source is proposed in the paper. The holographic estimation of sound source direction is based on signal processing of single vector receiver (VR) channels: x-th and y-th components of the oscillatory velocity. The sound field of a moving sound source creates a stable interference pattern of the intensity distribution (interferogram) in the frequency-time domain on VR channels. The two-dimensional Fourier transformation (2D-FT) is applied to analyze the channels interferograms. The result of the 2D-FT are holograms of the x-th and y-th oscillatory velocity components. The angle distributions of channels holograms are calculated. The offered holographic method is based on the ratio of the absolute values of the holograms angle distributions maxima. The expressions for VR channels holograms are derived. The results of the numerical experiment for source direction reconstruction are presented. A significant advantage of the proposed holographic method that there is no need for information about noise signal source, the additive noise obstacle and waveguide transfer function. [This study was supported by Russian Science Foundation grant no. 22-79-10233. Tkachenko’s numerical experiment was supported by grant no. МК-4846.2022.4.]

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49

Meng, Fanyu, Gottfried Behler, and Michael Vorländer. "A Synthesis Model for a Moving Sound Source Based on Beamforming." Acta Acustica united with Acustica 104, no. 2 (March 1, 2018): 351–62. http://dx.doi.org/10.3813/aaa.919177.

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50

Hassett, Sarah M., and Lawrence L. Feth. "Just discriminable change of velocity of a simulated moving sound source." Journal of the Acoustical Society of America 106, no. 4 (October 1999): 2209. http://dx.doi.org/10.1121/1.427505.

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