Готові списки джерел за темами / Moving Sound Source

Добірка наукової літератури з теми "Moving Sound Source"

Автор: Grafiati
Опубліковано: 6 вересня 2023
Оновлено: 7 вересня 2023

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Статті в журналах з теми "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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Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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Анотація:
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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Більше джерел

Дисертації з теми "Moving Sound Source"

1

Lee, Jong-Sik. "Time-varying filter modelling and time-frequency characterisation of non-stationary sound fields due to a moving source." Thesis, University of Southampton, 1989. https://eprints.soton.ac.uk/52248/.

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Анотація:
This thesis deals with the problems of modelling, interpretation and estimation of `non-stationary' processes with particular reference to acoustic problems. A common assumption in the modelling and analysis of a random process is that the process is `stationary'. Such an assumption may be a satisfactory approximation in many instances, but there are situations in which the processes are obviously non-stationary. In particular many physical non-stationary processes exhibit a `frequency-modulated' structure. An important example of such processes is the sound perceived by an observer due to a moving source emitting a random signal. In the thesis two methods are studied for the characterisation of such non-stationary processes; i) `time-frequency' spectral characterisation and ii) time-varying filter modelling. Two major candidates for `time-frequency' (time-varying) spectral characterisation of non-stationary processes are the Wigner-Ville spectrum and Priestley's evolutionary spectrum. Properties, prediction and estimation of the two time-frequency spectra and the relation between them are discussed. The time-frequency spectra of the sound field due to a moving source are predicted and these spectra are used as the basis for estimation of the acoustic directionality pattern of the source. As to the time-varying filter modelling of such non-stationary processes, a technique called the `covariance-equivalent' method is discussed. The covariance-equivalent technique is used to model the sound field due to a moving source emitting a random signal in single-path/single-sensor cases. The covariance-equivalent method, which has only been applicable to single-component processes, is extended to include the sound field in multi-path/multi-sensor cases by using the concept of the complex envelope (complex process). Finally estimation problems of practical importance, including that of (i) the source acoustic directionality pattern and (ii) time-varying delay estimation problems, are formulated and solved in terms of the covariance-equivalent models, and simulation studies are also performed. The simulation results justify that the covariance-equivalent method is an effective characterisation of such non-stationary processes.
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2

Ito, Masanori, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, and Noboru Ohnishi. "Blind Signal Separation of Moving Sound Sources." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2004. http://hdl.handle.net/2237/10347.

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3

Huang, Lixi. "Wave drag and power in moving sources." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239640.

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4

Buret, Marc. "New analytical models for outdoor moving sources of sound." Thesis, n.p, 2002. http://library7.open.ac.uk/abstracts/page.php?thesisid=64.

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5

Camargo, Hugo Elias. "A Frequency Domain Beamforming Method to Locate Moving Sound Sources." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/27765.

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Анотація:
A new technique to de-Dopplerize microphone signals from moving sources of sound is derived. Currently available time domain de-Dopplerization techniques require oversampling and interpolation of the microphone time data. In contrast, the technique presented in this dissertation performs the de-Dopplerization entirely in the frequency domain eliminating the need for oversampling and interpolation of the microphone data. As a consequence, the new de-Dopplerization technique is computationally more efficient. The new de-Dopplerization technique is then implemented into a frequency domain beamforming algorithm to locate moving sources of sound. The mathematical formulation for the implementation of the new de-Dopplerization technique is presented for sources moving along a linear trajectory and for sources moving along a circular trajectory, i.e. rotating sources. The resulting frequency domain beamforming method to locate moving sound sources is then validated using numerical simulations for various source configurations (e.g. emission angle, emission frequency, and source velocity), and different processing parameters (e.g. time window length). Numerical datasets for sources with linear motion as well as for rotating sources were simulated. For comparison purposes, selected datasets were also processed using traditional time domain beamforming. The results from the numerical simulations show that the frequency domain beamforming method is at least 10 times faster than the traditional time domain beamforming method with the same performance. Furthermore, the results show that as the number of microphones and/or grid points increase, the processing time for the traditional time domain beamforming method increases at a rate 20 times larger than the rate of increase in processing time of the new frequency domain beamforming method.
Ph. D.
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6

Wei, Wei. "Underwater measurement of the sound-intensity vector : its use in locating sound sources, and in measuring the sound power of stationary and moving sources /." Full text available from ProQuest UM Digital Dissertations, 1994. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1296083321&SrchMode=1&sid=4&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268675088&clientId=22256.

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Анотація:
Thesis (Ph.D.)--University of Mississippi, 1994.
Typescript. "May 1994 ." Dissertation director: Dr. Robert Hickling Committee chair: Dr. Richard Raspet Includes bibliographical references (leaves 115-118). Also available online via ProQuest to authorized users.
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7

Pignier, Nicolas. "Predicting the sound field from aeroacoustic sources on moving vehicles : Towards an improved urban environment." Doctoral thesis, KTH, Farkost och flyg, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205791.

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Анотація:
In a society where environmental noise is becoming a major health and economical concern, sound emissions are an increasingly critical design factor for vehicle manufacturers. With about a quarter of the European population living close to roads with heavy traffic, traffic noise in urban landscapes has to be addressed first. The current introduction of electric vehicles on the market and the need for sound systems to alert their presence is causing a shift in mentalities requiring engineering methods that will have to treat noise management problems from a broader perspective. That in which noise emissions need not only be considered as a by-product of the design but as an integrated part of it. Developing more sustainable ground transportation will require a better understanding of the sound field emitted in various realistic operating conditions, beyond the current requirements set by the standard pass-by test, which is performed in a free-field. A key aspect to improve this understanding is the development of efficient numerical tools to predict the generation and propagation of sound from moving vehicles. In the present thesis, a methodology is proposed aimed at evaluating the pass-by sound field generated by vehicle acoustic sources in a simplified urban environment, with a focus on flow sound sources. Although it can be argued that the aerodynamic noise is still a minor component of the total emitted noise in urban driving conditions, this share will certainly increase in the near future with the introduction of quiet electric engines and more noise-efficient tyres on the market. This work presents a complete modelling of the problem from sound generation to sound propagation and pass-by analysis in three steps. Firstly, computation of the flow around the geometry of interest; secondly, extraction of the sound sources generated by the flow, and thirdly, propagation of the sound generated by the moving sources to observers including reflections and scattering by nearby surfaces. In the first step, the flow is solved using compressible detached-eddy simulations. The identification of the sound sources in the second step is performed using direct numerical beamforming with linear programming deconvolution, with the phased array pressure data being extracted from the flow simulations. The outcome of this step is a set of uncorrelated monopole sources. Step three uses this set as input to a propagation method based on a point-to-point moving source Green's function and a modified Kirchhoff integral under the Kirchhoff approximation to compute reflections on built surfaces. The methodology is demonstrated on the example of the aeroacoustic noise generated by a NACA air inlet moving in a simplified urban setting. Using this methodology gives insights on the sound generating mechanisms, on the source characteristics and on the sound field generated by the sources when moving in a simplified urban environment.
I ett samhälle där buller håller på att bli ett stort hälsoproblem och en ekonomisk belastning, är ljudutsläpp en allt viktigare aspekt för fordonstillverkare. Då ungefär en fjärdedel av den europeiska befolkningen bor nära vägar med tung trafik, är åtgärder för minskat trafikbuller i stadsmiljö en hög prioritet. Introduktionen av elfordon på marknaden och behovet av ljudsystem för att varna omgivningen kräver också ett nytt synsätt och tekniska angreppssätt som behandlar bullerproblemen ur ett bredare perspektiv. Buller bör inte längre betraktas som en biprodukt av konstruktionen, utan som en integrerad del av den. Att utveckla mer hållbara marktransporter kommer att kräva en bättre förståelse av det utstrålade ljudfältet vid olika realistiska driftsförhållanden, utöver de nuvarande standardiserade kraven för förbifartstest som utförs i ett fritt fält. En viktig aspekt för att förbättra denna förståelse är utvecklingen av effektiva numeriska verktyg för att beräkna ljudalstring och ljudutbredning från fordon i rörelse. I denna avhandling föreslås en metodik som syftar till att utvärdera förbifartsljud som alstras av fordons akustiska källor i en förenklad stadsmiljö, här med fokus på strömningsgenererat ljud. Även om det aerodynamiska bullret är fortfarande en liten del av de totala bullret från vägfordon i urbana miljöer, kommer denna andel säkerligen att öka inom en snar framtid med införandet av tysta elektriska motorer och de bullerreducerande däck som introduceras på marknaden. I detta arbete presenteras en komplett modellering av problemet från ljudalstring till ljudutbredning och förbifartsanalys i tre steg. Utgångspunkten är beräkningar av strömningen kring geometrin av intresse; det andra steget är identifiering av ljudkällorna som genereras av strömningen, och det tredje steget rör ljudutbredning från rörliga källor till observatörer, inklusive effekten av reflektioner och spridning från närliggande ytor. I det första steget löses flödet genom detached-eddy simulation (DES) för kompressibel strömning. Identifiering av ljudkällor i det andra steget görs med direkt numerisk lobformning med avfaltning med hjälp av linjärprogrammering, där källdata extraheras från flödessimuleringarna. Resultatet av detta steg är en uppsättning av okorrelerade akustiska monopolkällor. Steg tre utnyttjar dessa källor som indata till en ljudutbredningsmodel baserad på beräkningar punkt-till-punkt med Greensfunktioner för rörliga källor, och med en modifierad Kirchhoff-integral under Kirchhoffapproximationen för att beräkna reflektioner mot byggda ytor. Metodiken demonstreras med exemplet med det aeroakustiska ljud som genereras av ett NACA-luftintag som rör sig i en förenklad urban miljö. Med hjälp av denna metod kan man få insikter om ljudalstringsmekanismer, om källegenskaper och om ljudfältet som genereras av källor när de rör sig i en förenklad stadsmiljö.

QC 20170425

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Sousa, Gustavo Henrique Montesião de. "Auralização de fontes sonoras móveis usando HRTFs." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-19092011-213316/.

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Анотація:
Este trabalho tem por objetivo desenvolver ferramentas que permitam gerar em fones-de-ouvido o efeito psicoacústico de fontes sonoras locomovendo-se no espaço, por meio da auralização do sinal monofônico original. Embora a auralização binaural possa ser feita empregando variações de atraso (chamadas ITD interaural time difference, ou diferença de tempo interaural) e de intensidade (chamadas ILD interaural level difference, ou diferença de nível interaural) entre os canais, melhores resultados psicoacústicos podem ser obtidos ao se utilizar filtros digitais conhecidos como HRTFs (head related transfer functions, ou funções de transferência relativas à cabeça). Uma HRTF insere no sinal monofônico informações que possibilitam ao sistema auditivo identificá-lo como proveniente de uma direção específica, direção esta que é única para cada HRTF. Para posicionar uma fonte estática em uma direção específica, bastaria, então, filtrar o sinal original pela HRTF da direção desejada. Se, no entanto, for desejável que a fonte se locomova em uma trajetória contínua, um número infinitamente grande de filtros seria necessário. Como eles são, normalmente, obtidos empiricamente, um número arbitrariamente alto deles não está disponível. Disso surge a necessidade de técnicas de interpolação de HRTFs, que possibilitem gerar os filtros intermediários não disponíveis. Este trabalho apresenta três novas técnicas de interpolação de HRTFs, para assim alcançar o objetivo de auralizar fontes sonoras móveis: a interpolação triangular, que é uma técnica de interpolação linear baseada na técnica de panorama sonoro VBAP (vector-based amplitude panning, ou panorama sonoro baseado em vetores); o método das movimentações discretas, que busca explorar o limiar de percepção do nosso sistema auditivo para, com isso, gerar uma técnica extremamente barata computacionalmente; e a interpolação espectral, que altera continuamente as estruturas das HRTFs para gerar filtros interpolados. São apresentadas também as implementações feitas dessas novas técnicas desenvolvidas, bem como os testes numéricos realizados para medir sua eficácia.
The goal of this work is the development of tools that allow simulating through headphones the psychoacoustic effect of sound sources moving in space, by the auralisation of the original monophonic signals. Although binaural auralisation can be implemented using variations in delays (called ITD interaural time difference) and in intensities (called ILD interaural level difference) among channels, better psychoacoustic results can be achieved using digital filters known as HRTFs (head related transfer functions). A HRTF inserts in the monophonic signal information that allow the auditory system to perceive this signal to be as if coming from a specific direction, which is unique for each single HRTF. Thus, to position a static sound source at a specific direction, filtering the original signal with the HRTF from the desired direction would be enough. Nevertheless, if it is desired that the sound source moves in a continuous trajectory, an infinitely large amount of filters would be necessary. Since they are usually obtained by measurements, such an arbitrarily large amount of them is not available. In this case, HRTF interpolation techniques that generate intermediary filters must be used. This work presents three new HRTF interpolation techniques in order to auralise moving sound sources: the triangular interpolation, a linear interpolation technique based on the VBAP amplitude panning technique; the discrete movements method, an extremely efficient technique that exploits the auditory systems limitations in perceiving very small changes in direction; and the spectral interpolation, that alters continuously the structures of the HRTFs to generate interpolated filters. Implementations of these techniques are discussed and numerical tests are also presented.
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9

Lee, Po-Lin, and 李柏霖. "The Investigations on the Sound Field Generated by Moving Sound Source." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/83380965990684888265.

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Анотація:
博士
國立清華大學
動力機械工程學系
98
Abstract The Phenomenon of the sound field generated by a moving sound source has been investigated in the present work with two-part subject. The first part is to establish the mathematical model and the corresponding numerical scheme; the second part is to employ the established numerical scheme in practical acoustic problems. In order to establish the mathematical model, a novel governing equation is derived and it can be viewed as a modified Ffowcs Williams-Hawkings equation (FW-H-equation). The major characteristic of the novel governing equation is to include the interior and the exterior domain. In addition, the acoustic position vector, the quality describes the relations about the distance and the direction between the observer and the sound source, is represented for applying to the condition of the sound source moving with variable speed. As to the solution of the governing equation, it is expressed in the form of the Surface Integral Formula (SIF) by convoluting the free-space Green’s function in time domain. Then, this SIF is used to numerical implementation in the concept of the Boundary Element Method in time domain (BEMTD). After establishing the numerical scheme and verifying the correctness of the calculating results, two acoustic problems were investigated for revealing the ability of the numerical scheme. The first case considers that a moving line source with variable speed. This case reveals that the restriction of the constant speed is released in the established numerical scheme. For the simulation results, it shows that the effect of the variable speed not only influenced the variation rate of the frequency modulation, i.e., Doppler effect, but also the time about the maximum acoustic pressure being observed. In addition, the rate of the amplitude variation is shaper than that in the constant speed case when the line source is approaching to the observer point. The second case investigates the binaural hearing perceived by a moving sound source. For understanding the weighting of the eventful cues about perceiving the direction and the speed of the moving sound source, the sound pressure at the entrance of the external ear canal was calculated by the established numerical scheme. Furthermore, the Hilbert Huang transformation (HHT) is used to find the instantaneous frequencies of acoustic signal. Results show that the Interaural Level Difference (ILD) and the frequencies shifting are eventful than Interaural Time Difference (ITD). The perceived loudness level will be larger in the motional case than that found in the stationary case. These engineering problems are shown that the acoustic properties are different for comparing with the sound field generated by a moving sound source and that by a stationary sound source. As to the analytical methodology developed in the present work, it turns out that it indeed can be used to simulate and analyze these acoustic problems whenever the sound source moves or not. Furthermore, some meaningful phenomenon relating to these problems then can be observed through discussing the calculating results.
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10

CHEN, TING HAN, and 陳廷翰. "A Study of the Ability to Discriminate Moving Sound Source for Monaural Hearing and Binaural Hearing." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/rtbaq8.

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Анотація:
碩士
國立臺中教育大學
資訊工程學系
106
Binaural hearing outperforms monaural hearing in both speech perception and sound source localization owning to benefit from head shadow and summation effects. Especially monaural hearing is lacking in benefits from head shadow and summation effects, the only mean to discriminate is volume and that highly decreases performance of listeners. Furthermore, in real environment, sound source may be moving, that is the issue will be discussed in this thesis. HRTF database is used to simulate the dynamic or static audio used in experiments. All subject are normal-hearing and target sound sources includes 1000Hz pure tone, Chinese sentences and Chinese sentences with SSN, all these three cases will used in Binaural hearing test and monaural hearing(left ear only and right ear only) so that the result of tracking different sound sources will be acquired and discussed. The results from 1000Hz experiment will be used to compare to other results as a test basis. Also, acquiring comparison of 1000Hz and Chinese sentences will be necessary as Chinese is a tonal language. And the experiment results do actually show the behavior of all subjects are quiet close unlike the result from sentences experiment. Then the results of sentences with SSN are more unpredictable, some further research may be necessary to get more information.
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Книги з теми "Moving Sound Source"

1

Commission on Preservation and Access., ed. Directory of information sources on scientific research related to the preservation of sound recordings, still and moving images, and magnetic tape. Washington, DC: Commission on Preservation and Access, 1993.

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2

National Film and Sound Archive (Australia), ed. World War II: Australians at home and overseas : a selected catalogue of moving image, recorded sound, and documentation materials from the collection of the National Film and Sound Archive. [Canberra?]: The Archive, 1995.

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3

Layden, Timothy B. Reflection. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199351411.003.0022.

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For me every sound has its own shape or form. This sense of shape is like objects in my periphery. They move around me and change in size and structure depending on how the sounds change. The experience is more intense with more complex sounds and when the source of the sound is not visible. I wonder if it is my brain creating the visual for the sound. The shapes seem to reflect the sound: liquid sounds often create fluid bubbly shapes; sharp clanging sounds have more angular shapes like growing crystals; bass sounds are large and expanding. When there is a loud, seemingly singular sound, this can create a sense of space around me as if I were inside the shape itself. When many sounds occur at once, the shapes often combine, creating a complex structure or a texture. These shapes sometimes blend together, rather as sounds do in the environment, creating a moving landscape. These experiences are part of how I sense the world and rarely stand out as distractions. Sometimes, however, a sudden, unexpected sound will evoke a synaesthetic experience that is distracting, drawing my attention away from whatever I might be doing....
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4

Lewis, Hannah. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190635978.003.0001.

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The introduction presents the book’s scope, approach, and organization. It recounts the history of the transition to synchronized sound film, which has largely been examined from the perspective of American cinema. However, because of aspects of French cinematic and musical culture that were unique to France, the transition unfolded in very different ways, becoming a hotly debated topic and resulting in divergent artistic responses. The introduction lays out the competing conceptions of sound film in France—for instance, its aesthetic proximity to either live theater or silent film, and its potential as a realist medium or a source of abstract fantasy—and the ways these conceptions played out in practitioners’ writings and films of the period. The films created during this “transitional” moment in filmmaking encourage us to reconsider long-held assumptions about the relationship between music and the moving image.
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Частини книг з теми "Moving Sound Source"

1

Nakajima, Hirofumi, Kazuhiro Nakadai, Yuji Hasegawa, and Hiroshi Tsujino. "Moving Sound Source Extraction by Time-Variant Beamforming." In New Frontiers in Artificial Intelligence, 47–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78197-4_6.

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2

Murakami, Koki, Keiichi Watanuki, and Kazunori Kaede. "Spatial Perception Under Visual Restriction by Moving a Sound Source Using 3D Audio." In Advances in Industrial Design, 757–64. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80829-7_93.

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3

Berthelot, Yves H., and Ilene J. Busch-Vishniac. "Optical Generation of Sound: Experiments with a Moving Thermoacoustic Source. The Problem of Oblique Incidence of the Laser Beam." In Progress in Underwater Acoustics, 603–10. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1871-2_71.

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4

Antes, H., and T. Meise. "3-D Sound Generated by Moving Sources." In Boundary Integral Methods, 55–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-85463-7_5.

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5

Roger, Michel. "Sound Radiation by Moving Surfaces and the Green’s Functions Technique." In Noise Sources in Turbulent Shear Flows: Fundamentals and Applications, 73–116. Vienna: Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1458-2_2.

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6

Mo, P., X. Wang, and W. Jiang. "A Frequency Compensation Method to Smooth Frequency Fluctuation for Locating Moving Acoustic Sources." In Fluid-Structure-Sound Interactions and Control, 365–70. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7542-1_55.

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7

Altman, J. A. "Information Processing Concerning Moving Sound Sources in the Auditory Centers and its Utilization by Brain Integrative and Motor Structures." In Auditory Pathway, 349–54. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-1300-7_49.

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8

Dunai, Larisa, Guillermo Peris-Fajarns, Teresa Magal-Royo, Beatriz Defez, and Victor Santiago. "Virtual Moving Sound Source Localization through Headphones." In Advances in Sound Localization. InTech, 2011. http://dx.doi.org/10.5772/14643.

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9

"- Moving sound sources and receivers." In Acoustics in Moving Inhomogeneous Media, 178–203. CRC Press, 2015. http://dx.doi.org/10.1201/b18922-10.

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10

"Moving Thermoradiation Sources Of Sound." In Radiation Acoustics. CRC Press, 2004. http://dx.doi.org/10.1201/9780203402702.ch8.

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Тези доповідей конференцій з теми "Moving Sound Source"

1

Ohmori, Seiichi, and Kenji Suyama. "Multiple moving sound source tracking using PSO." In 2012 11th International Conference on Signal Processing (ICSP 2012). IEEE, 2012. http://dx.doi.org/10.1109/icosp.2012.6491618.

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2

Pertila, P., M. Parviainen, T. Korhonen, and A. Visa. "Moving sound source localization in large areas." In 2005 International Symposium on Intelligent Signal Processing and Communication Systems. IEEE, 2005. http://dx.doi.org/10.1109/ispacs.2005.1595517.

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3

Nakadai, Kazuhiro, Hirofumi Nakajima, Gökhan Ince, and Yuji Hasegawa. "Sound source separation and automatic speech recognition for moving sources." In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010). IEEE, 2010. http://dx.doi.org/10.1109/iros.2010.5651167.

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4

Mane, Shubham S., Swapnil G. Mali, and S. P. Mahajan. "Localization of Steady Sound Source and Direction Detection of Moving Sound Source using CNN." In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2019. http://dx.doi.org/10.1109/icccnt45670.2019.8944612.

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5

Sasaki, Yoko, Ryo Tanabe, and Hiroshi Takemura. "Probabilistic 3D sound source mapping using moving microphone array." In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2016. http://dx.doi.org/10.1109/iros.2016.7759214.

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6

Nakadai, Kazuhiro, Hirofumi Nakajima, Yuji Hasegawa, and Hiroshi Tsujino. "Sound source separation of moving speakers for robot audition." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4960426.

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7

Kim, Hyun-Don, Kazunori Komatani, Tetsuya Ogata, and Hiroshi G. Okuno. "Evaluation of Two-Channel-Based Sound Source Localization Using 3D Moving Sound Creation Tool." In International Conference on Informatics Education and Research for Knowledge-Circulating Society (icks 2008). IEEE, 2008. http://dx.doi.org/10.1109/icks.2008.25.

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8

Han, Jongho, Sunsin Han, Yan Li, and Jangmyung Lee. "Tracking of a moving object by following the sound source." In 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2012. http://dx.doi.org/10.1109/aim.2012.6265952.

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9

Yang, Desen, Xiaoxia Guo, Shengguo Shi, and Bo Hu. "The Helmholtz Equation Least Squares Method for Moving Sound Source." In 2010 2nd International Conference on Information Engineering and Computer Science (ICIECS). IEEE, 2010. http://dx.doi.org/10.1109/iciecs.2010.5677647.

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10

Wang, Lin, Ricardo Sanchez-Matilla, and Andrea Cavallaro. "Tracking a moving sound source from a multi-rotor drone." In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2018. http://dx.doi.org/10.1109/iros.2018.8594483.

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