• Title/Summary/Keyword: Sound Source

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Experimental Study on Sound Diffraction over Barrier Using a Spark Discharge Sound Source (스파크 음원을 이용한 장벽의 회절음장에 관한 실험 연구)

  • 주진수
    • Journal of KSNVE
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    • v.9 no.3
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    • pp.466-471
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    • 1999
  • The prediction methods of diffraction field in barrier has beenreported much about the infinite length barrier and it is very few work that reasonable sound source was used in experiment. This study, however, has worked about the several model barrier with acoustic scale model experiment. In the case of scale model experiment, it is difficult to use the kind of source with sufficiently characteristics. A spark discharge sound source with the high repeatability, broad band spectra, small size and omnidirectivity has veen used for the prediction of diffraction field. Several model barriers with different length on the ground were considered for the experiment and compared with the the results calculated by the approximation.

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Performance analysis of GCC-PHAT-based sound source localization for intelligent robots (지능형 로봇을 위한 GCC-PHAT 기반 음원추적 기술의 성능분석)

  • Park, Beom-Chul;Ban, Kyu-Dae;Kwak, Keun-Chang;Yoon, Ho-Sup
    • The Journal of Korea Robotics Society
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    • v.2 no.3
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    • pp.270-274
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    • 2007
  • In this paper, we present a Sound Source Localization (SSL) based GCC (Generalized Cross Correlation)-PHAT (Phase Transform) and new measurement method of angle with robot auditory system for a network-based intelligent service robot. The main goal of this paper is to analysis performance of TDOA and GCC-PHAT sound source localization method and new angle measurement method is compared. We use GCC-PHAT for measuring time delays between several microphones. And sound source location is calculated by using time delays and new measurement method of angle. The robot platform used in this work is wever-R2, which is a network-based intelligent service robot developed at Intelligent Robot Research Division in ETRI.

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The Noise Measurement Method of the Multi-Sound Source in Reverberation Field wiht Wave-Guide (Reverberation 음장내 다수 소음원의 음파관을 이용한 소음 측정 방법)

  • 이성태
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1996.04a
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    • pp.275-285
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    • 1996
  • A noise measurement method of the multi-sound sources in a reverberation field with wave-guide is developed by experimental method. In the reverberation field, it is very hard to measure sound level or noise spectra of a certain sound source, when many sound sources generate noise simultaneously with a small space between them. Flexible wave-guide(tube) was used to measure noise level in a reverberation field. One end of the tube is attached to a sound source and the other end is closed with an anechoic terminal. Detailed method of the measurement and the source of error was considered as well.

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Direction and Location Estimating Algorithm for Sound Sources with Two Hydrophones in Underwater Environment (두 개의 하이드로폰을 이용한 수중 음원 방향 추정 및 위치 추정 알고리즘)

  • Shin, JaeWook;Song, Ju-Man;Lee, SeokYoung;Choi, Hyun-Taek;Park, PooGyeon
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.8
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    • pp.676-681
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    • 2013
  • For underwater vehicles, the use of sensors such as cameras and laser scanners is limited by the difference in environment compared to robots designed to work on dry land. In underwater environments, if use is made of sound signals, valuable information can be obtained. The most important application is the localization of underwater sound sources. The estimated location of a sound source can be used to control underwater robots or submarines. Thus, the purpose of this research is to estimate the source's direction and location in a noisy underwater environment. The direction of the sound source is obtained using two hydrophones. Furthermore, if we assume that the robot or sound source is moving, the location of the sound source is estimated using more than two estimated directions. The feasibility of the developed algorithm is examined by experiments in a water tank and in the ocean.

Design of Sound Source Localization Sensor Based on the Hearing Structure in the Parasitoid Fly, Ormia Ochracea (파리의 청각 구조를 이용한 음원 방향 검지용 센서 설계)

  • Lee, Sang-Moon;Park, Young-Jin
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.2
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    • pp.126-132
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    • 2012
  • The technique for estimation of sound source direction is one of the important methods necessary for various engineering fields such as monitoring system, military services and so on. As a new approach for estimation of sound source direction, this paper propose the bio-mimetic localization sensor based on mechanically coupling structure motivated by hearing structure of fly, Ormia Ochracea. This creature is known for its outstanding recognition ability to the sound which has large wavelength compared to its own size. ITTF (Inter-Tympanal Transfer Function) which is the transfer function between displacements of the tympanal membranes on each side has the all inter-tympanal information dependent on sound direction. The peak and notch features of desired ITTF can be generated by using the appropriate mechanical properties. A example of estimation of sound source direction using generated ITTF with monotonically changing notch and peak patterns is shown.

Prediction of Interior Noise Caused by Tire Based on Sound Intensity and Acoustic Source Quantification (공기 기인 소음 분석과 음향 인텐시티법을 이용한 타이어에 의한 실내 소음 예측)

  • Shin, Kwang-Soo;Lee, Sang-Kwon;Hwang, Sung-Uk
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.23 no.4
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    • pp.315-323
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    • 2013
  • Tire noise is divided into a road noise(structure-borne noise) and a pattern noise(air-borne noise). Whilst the road noise is caused by the structural vibration of the components on the transfer path from tire to car body, the pattern noise is generated by the air-pumping between tire and road. In this paper, a practical method to estimate the pattern noise inside a passenger car is proposed. The method is developed based on the sound intensity and airborne source quantification. Sound intensity is used for identifying the noise sources of tire. Airborne source quantification is used for estimating the sound pressure level generated by each noise source of a tire. In order to apply the airborne source quantification to the estimation of the sound pressure, the volume velocity of each source should be obtained. It is obtained by using metrics inverse method. The proposed method is successfully applied to the evaluation of the interior noises generated by four types of tires with different pattern each other.

Obstacle Avoidance of a Moving Sound Following Robot using Active Virtual Impedance (능동 가상 임피던스를 이용한 이동 음원 추종 로봇의 장애물 회피)

  • Han, Jong-Ho;Park, Sook-Hee;Noh, Kyung-Wook;Lee, Dong-Hyuk;Lee, Jang-Myung
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.2
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    • pp.200-210
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    • 2014
  • An active virtual impedance algorithm is newly proposed to track a sound source and to avoid obstacles while a mobile robot is following the sound source. The tracking velocity of a mobile robot to the sound source is determined by virtual repulsive and attraction forces to avoid obstacles and to follow the sound source, respectively. Active virtual impedance is defined as a function of distances and relative velocities to the sound source and obstacles from the mobile robot, which is used to generate the tracking velocity of the mobile robot. Conventional virtual impedance methods have fixed coefficients for the relative distances and velocities. However, in this research the coefficients are dynamically adjusted to elaborate the obstacle avoidance performance in multiple obstacle environments. The relative distances and velocities are obtained using a microphone array consisting of three microphones in a row. The geometrical relationships of the microphones are utilized to estimate the relative position and orientation of the sound source against the mobile robot which carries the microphone array. Effectiveness of the proposed algorithm has been demonstrated by real experiments.

Application of Sound Intensity Camera for the Noise Source Analysis (소음원 규명을 위한 음향 인텐시티 카메라 응용)

  • Lee, Chang-Myung;Bae, Young-Wook
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2009.10a
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    • pp.229-230
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    • 2009
  • A method is suggested for the noise source identification using the sound intensity method. The suggested method does not need to install the grid using wire or thread during the sound intensity measurement for the noise source identification. It utilizes a camera to show the grid on the screen not installing the real grid for the sound intensity method.

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Acoustic Field Analysis of Reverberant Water Tank using Acoustic Radiosity Method and Experimental Verification (음향라디오시티법을 이용한 잔향수조 음장 해석과 실험검증)

  • Kim, Kookhyun
    • Journal of the Society of Naval Architects of Korea
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    • v.56 no.5
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    • pp.464-471
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    • 2019
  • The acoustic power is a major acoustical characteristic of an underwater vehicle and could be measured in a reverberant water tank. In order to obtain accurate measurement results, the acoustic field formed by the sound source should be investigated quantitatively in the reverberant water tank. In this research, the acoustic field of a reverberant water tank containing an underwater sound source has been analyzed by using an acoustic radiosity method one of the numerical analysis methods suitable for the acoustic analysis of the highly diffused space. The source level of the underwater sound source and acoustical properties of the water tank input to the numerical analysis have been estimated by applying the reverberant tank plot method through a preliminary experiment result. The comparison of the numerical analysis result with that of the experiment has verified the accuracy of the acoustic radiosity method.

A Study on 2-Dimensional Sound Source Tracking System II (2차원적 음원추적에 관한 연구 II)

  • 문성배;전승환
    • Journal of the Korean Institute of Navigation
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    • v.22 no.4
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    • pp.31-36
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    • 1998
  • The whistle is a very important information source for the safety navigation under foggy weather. But navigator has no concern about this, because it must be achived by human hearing sense and considered as a vague signal. If the range and relative bearing of signal source can be detected automatically, it would be very useful system for preventing marine casualties making a lot of economic loss and environment pollution. Before the algorithm of 2-dimensional sound source tracking system was reported. This paper describes the method that can obtain the time lag between three signals and the theory of cross-correlation analysis and subtraction method for cauculating the time lag by using the digital signal data sequences. And a series of experiments were carried out for various position of sound source in the range from 200cm to 530cm. As a result, we have recognized that sound source tracking system is possible to the sea field with improvement of position error.

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