• Title/Summary/Keyword: Sound signal

검색결과 898건 처리시간 0.03초

음향측정시 실의 종류와 음원에 따르는 음향인자 측정분석에 관한 연구 (A Study on the Acoustical Characteristics of Pistol Impluse and MLS Source Measurements in Room Types)

  • 김정중;손장렬
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2004년도 추계학술대회논문집
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    • pp.1028-1031
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    • 2004
  • Last target of architectural acoustics is that people wish to convey voice effectively from the space adaptively in use purpose in building. But, to how exactly through space sound source that wish to deliver from indoor can be passed does quantification sound estimation method is proposing various kinds physical parameter to estimate degree of voice definition (Speech articulation) and reverberation. Result that evaluate sound source about MLS signal and Impluse signal by pistol in this treatise could know that converge in MLS and measurement error extent about reverberation time(RT) of sound benevolent person. And value is thought there is problem showing change irregularly about sound benevolent person of D50, C80 etc. Finally, in case is spread sound field in difference of sound pressure level, when measure about change of sound pressure level, sound benevolent person could know that there is no different effect.

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청각장애인을 위한 사운드 이벤트 검출 기반 홈 모니터링 시스템 (Home monitoring system based on sound event detection for the hard-of-hearing)

  • 김지연;신승수;김형국
    • 한국음향학회지
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    • 제38권4호
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    • pp.427-432
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    • 2019
  • 본 논문에서는 청각장애인을 위해 양방향 게이트 순환 신경망을 이용한 사운드 이벤트 검출 기반의 홈 모니터링 시스템을 제안한다. 제안된 시스템에서는 우선적으로 효과적인 사운드 이벤트 검출을 위해 패킷손실 은닉을 이용하여 무선 센서 네트워크로 인해 손실된 신호를 복원하고, 멀티채널 상호 상관관계 계수를 이용하여 신뢰할 수 있는 채널을 선택한다. 선택된 채널의 사운드는 이벤트 검출을 위해 두 개의 오디오 채널을 사용하는 양방향 게이트 순환신경망에 적용된다. 검출된 사운드 이벤트는 텍스트로 변환되며, 이와 함께 하모닉/퍼커시브 음원 분리 방식을 통해 햅틱 신호로 변환되어 청각장애인에게 제공된다. 실험결과는 제안한 사운드 검출기반의 성능이 기존 방식보다 더 우수하다는 것과 음원 분리 방식을 통해 사운드를 세밀한 햅틱 신호로 표현할 수 있음을 보인다.

공간평가를 위한 피스톨음원의 적정성에 관한 연구 (A Study of Enemy Aptitude of Pistol Sound Source for Space Estimation)

  • 송장렬;김정중
    • 한국소음진동공학회논문집
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    • 제15권3호
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    • pp.320-328
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    • 2005
  • Last target of architectural acoustics is that people wish to convey voice effectively from the space adaptively in use purpose in building. But, how exactly through space sound (sound source) that wish to deliver from indoor can be passed method to do quantification and evaluate quantity of sound by method to serve indoor architectural acoustics estimation summer period and methods to estimate definition propose. This Study searches special quality of sound source about MLS signal that is occurred short-answer sound source (pistol sound source) and nondirectional speaker among indoor sound estimation method, and measure and analyzed reverberation time (RT60), definition (C80, D50) by regulation of each ISO 3382 in age place (classroom, hall, gymnasium). Analysis result and sound factor among could know that d of two sound sources converges in measurement error extent about reverberation time (RT60) of analysis incidental and sound factors and value shows change irregularly about sound factor of D50, C80, pistol sound source judged there is problem. Also, could know that problem is happened in deflection except reverberation time is in deflection analysis with wave that measure each in fixed distance in branch. Finally, when differ size of sound source and measure about change of sound pressure level in case measure sound pressure level giving difference about 10 dB, sound factor could know that there is no different effect.

위너필터 후처리를 통한 비음수행렬분해 기법의 배경음 저감 성능 향상 (Improvement of Background Sound Reduction Performance by Non-negative matrix Factorization Method by Wiener Filter Post-processing)

  • 이상협;김현태
    • 한국전자통신학회논문지
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    • 제14권4호
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    • pp.729-736
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    • 2019
  • 본 논문에서는 비음수 행렬 분해 필터 뒷단에 위너필터를 추가하여 배경음 분리 성능을 향상하는 방법을 제안한다. 배경음이 혼재된 음성 신호의 경우 비음수 행렬 분해 기법으로 1차 분리된 신호에는 아직 완전히 분리되지 못한 부분이 잔류할 수 있다. 이러한 경우 위너필터에 의해 잔류하는 신호의 크기에 비례하여 줄여줄 수 있어 배경음 분리 또는 저감 효과를 기대할 수 있다. 실험을 통해 위너필터를 추가한 경우가 비음수행렬 분해 기법만 적용한 경우에 비해 저감 효과가 높은 것을 확인할 수 있었다.

Microphone Array를 이용한 고압설비의 고장위치인식 알고리즘 (An Accidental Position Detection Algorithm for High-Pressure Equipment using Microphone Array)

  • 김득권;한순신;하현욱;이장명
    • 전기학회논문지
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    • 제57권12호
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    • pp.2300-2307
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    • 2008
  • This study receives the noise transmitted in a constant audio frequency range through a microphone array in which the noise(like grease in a pan) occurs on the power supply line due to the troublesome partial discharge(arc). Then by going through a series of signal processing of removing noise, this study measures the distance and direction up to the noise caused by the troublesome partial discharge(arc) and monitors the result by displaying in the analog and digital method. After these, it determines the state of each size and judges the distance and direction of problematic part. When the signal sound transmitted by the signal source of bad insulator is received on each microphone, the signal comes only in the frequency range of 20 kHz by passing through the circuit of amplification and 6th low pass filter. Then, this signal is entered in a digital value of digital signal processing(TMS320F2812) through the 16-bit A/D conversion. By doing so, the sound distance, direction and coordinate of bad insulator can be detected by realizing the correlation method of detecting the arriving time difference occurring on each microphone and the algorithm of detecting maximum time difference.

능동 신호 처리 이용한 기어의 이상 진단 (Fault Diagnosis in Gear Using Adaptive Signal Processing)

  • 이상권
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 춘계학술대회논문집
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    • pp.1114-1118
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    • 2000
  • Impulsive sound and vibration signals in gear are often associated with their faults. Thus these impulsive sound and vibration signals can be used as indicators in the diagnosis of gear fault. The early detection of impulsive signal due to gear fault prevents from complete failure in gear. However it is often difficult to make objective measurement of impulsive signals because of background noise signals. In order to ease the detection of impulsive signals embedded in background noise, we enhance the impulsive signals using adaptive signal processing.

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음향 신호 분석에 의한 GMAW의 특성분석 (The Analysis of Characteristics of GMAW using Sound Signal)

  • 조택동;양상민;양성빈
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 2002년도 춘계학술발표대회 개요집
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    • pp.65-67
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    • 2002
  • The gas metal arc welding(GMAW) is regarded as one of the best candidate for welding automation in industrial joining application. It is important to monitor the weld quality for the high performance of weld automation. The measured analog signal is frequency analyzed by digital signal process method. In order to observe the welding phenomena and control welding condition, arc light, voltage, and current are measured at the same time. They are analyzed and compared with arc sound. for these experiments, a power source of constant voltage characteristics was used in the pure metal transfer mode.

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심해저용 원격 착탈 시스템 제어를 위한 수중음향신호 인식 알고리즘의 개발 (A Development of Underwater Sound Signal Recognition Algorithm for Acoustic Releaser in the Seafloor)

  • 김영진;우종식;조영준;허경무
    • 제어로봇시스템학회논문지
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    • 제10권5호
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    • pp.421-427
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    • 2004
  • In order to exploit underwater resources successfully, the first step would be a marine environmental research and exploration in the seafloor. Generally one sets up a long-term underwater experimental unit in the seafloor and retrieves the unit later after a certain period time. Essential to these applications is the reliable teleoperation and telemetering of the unit. In this paper we presents a robust underwater sound recognition algorithm by which we can identify the sound signal without the influence of disturbances due to underwater environmental changes. The proposed method provides a means suitable for the acoustic releaser which requires low power dissipation and long-time underwater operation. We demonstrate its ability of securing stability and fast sound recognition through simulation methods.

Acoustic releaser 제어를 위한 강인한 수중음향신호 인식 알고리즘의 개발 (A Development of Robust Underwater Sound Signal Recognition Algorithm for Acoustic Releaser)

  • 김영진;허경무
    • 전자공학회논문지SC
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    • 제41권3호
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    • pp.33-38
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    • 2004
  • 본 논문에서는 해저의 환경변화에 따른 외란 요소에 영향을 받지 않고, 안정적으로 음파신호를 인식할 수 있는 수중음향 신호인식 알고리즘을 제안하였다. 제안하는 알고리즘은 배터리에 의존하여 장시간 운용되어야하는 시스템에 적합한 저소비전력형으로서, 신속하게 음파신호를 인식할 수 있고 해양환경 변화에 대한 안정성을 확보할 수 있으며, 이의 효율성을 수학적모델에 따른 수치시험과 회로실험을 통하여 확인하였다.

경계요소법을 이용한 음원의 자유음장 복원에 대한 연구 (A study for the- reconstruction of free field sound source from the measured data in a closed wall by using Boundary Element Method)

  • 최한림;이덕주
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2000년도 춘계학술대회논문집
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    • pp.1747-1751
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    • 2000
  • It is well known that acoustic signals, even measured in an anechoic chamber, can be contaminated due to the wall interference. Therefore, it is necessary to reconstruct the original signal from the measured data, which is very critical for the case of measurement of source signal in a water tunnel. In this thesis, new methods for the reconstruction of sound sources are proposed and validated by using Boundary Element Method from measured data in a closed space. The inverse Helmholtz integral equation and its normal derivative are used for the reconstruction of sound sources in a closed space. An arbitrary Kirchhoff surface over the sources is proposed to solve the surface information instead of direct solution for the source. Although sound sources are not directly known by the inverse Helmholtz equation, the original sound source of pressure-field outside of the wall can be indirectly obtained by using this new method.

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