• 제목/요약/키워드: microphone array

검색결과 183건 처리시간 0.216초

가변계수 프리엠퍼시스를 이용한 마이크어레이 음성입력에 관한 연구 (On Speech Input with Microphone Array using the variable coefficient Pre-emphasis)

  • 조왕래;배명진
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2001년도 추계학술발표대회 논문집 제20권 2호
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    • pp.65-68
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    • 2001
  • 현재 음성인식기는 다채널의 음성입력방식을 사용하고 있는 추세이다. 이런 방법으로 음성인식기를 사용할 때에 자동적으로 음성을 검출하는 음성입력방식은 발성자와 마이크간의 거리에 따라 발성음성, 반사음성과 잡음이 입력된 경우에 원 음성의 고차포만트 성분에 왜곡이 발생하게 된다 이러한 문제점을 개선하기 위하여 본 논문에서는 고주파영역의 특성을 강조시킬 수 있는 프리엠퍼시스를 이용하여 더욱 더 정확한 음성입력 방법을 제안한다. 제안한 방법은 원음과 유사한 합성입력음을 얻었고, 또한 기존의 시간영역 법 보다 더 높은 SNR을 얻을 수 있다는 것을 알 수가 있다.

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고가철교 방음터널 효과검증 (The Verification on Effect of Sound Absorption Tunnel for Elevated Railway)

  • 김형두
    • 한국공작기계학회논문집
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    • 제17권3호
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    • pp.122-127
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    • 2008
  • The source of wayside noise for the train are the aerodynamic noise, wheel/rail noise, and power unit noise. The major source of railway noise is the wheel/rail noise caused by the interaction between the wheels and rails. The Structure borne noise is mainly a low frequency problem. The train noise and vibration nearby the elevated railway make one specific issue. The microphone array method is used to search sound radiation characteristics of elevated structure to predict the noise propagation from an elevated railway. In this paper, the train noise and structure borne noise by train are measured. From the results, we investigated the effect on the sound absorption tunnel for elevated railway.

스캐닝 평면 음향 홀로그래피에서의 스펙트럴 분산 보정 (Compensation for Spectral Variance in Scan-Based Planar Acoustical Holography)

  • 권휴상;김용조;;서재갑;박준홍;서상준
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.520-524
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    • 2002
  • Multi-reference, scan-based Acoustical Holography is a useful measurement technique when insufficient microphones are available to measure a complete hologram at once. When the sound sources are stationary, the whole hologram can be constructed by joining together sub-holograms captured using a relatively small scan array. Here that approach is extended by the development of a formulation that explicitly includes the acoustical transfer functions between the reference microphones and the scanning microphones. Based on those expressions, a compensation procedure of spectral variance due to source-non-stationarity is proposed. It has been verified both numerically and experimentally that this procedure can help suppress spatially distributed noise caused by the source level non-stationarity that is always present in a measurement.

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주파수 응답 함수를 이용한 철도차량 실내소음 기여도 분석 및 분포도 측정 (Analysis of Noise Contribution using Frequency Response Function and Measurements of Noise Distribution for Railway Interior Noise)

  • 김재철;유원희
    • 소음진동
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    • 제9권5호
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    • pp.949-954
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    • 1999
  • Speed-up and mass reduction of railway vehicle usually causes increased of the interior noise. One of the best ways to control the interior noise is to identify the noise level radiated from each of parts in the cabin. In this paper, we describe the method to estimate the interior noise nad evaluate the noise contribution to each of parts. This method is based that the sound pressure can be calculated by using the frequency response function and acceleration. According to analysis of the noise contribution, we validated that the noise radiated from the floor is the higher in the cabin. We also measured the noise distribution for the side and floor by using the microphone array in order to analyze the effect of the noise flowing into the cabin from the outdoors. Finally, we presented the plan of the interior noise reduction based on the noise levels radiated from each of parts.

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확률적 목표 음성 검출을 통한 다채널 입력 기반 음성개선 (Probabilistic Target Speech Detection and Its Application to Multi-Input-Based Speech Enhancement)

  • 이영재;김수환;한승호;한민수;김영일;정상배
    • 말소리와 음성과학
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    • 제1권3호
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    • pp.95-102
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    • 2009
  • In this paper, an efficient target speech detection algorithm is proposed for the performance improvement of multi-input speech enhancement. Using the normalized cross correlation value between two selected channels, the proposed algorithm estimates the probabilistic distribution function of the value from the pure noise interval. Then, log-likelihoods are calculated with the function and the normalized cross correlation value to detect the target speech interval precisely. The detection results are applied to the generalized sidelobe canceller-based algorithm. Experimental results show that the proposed algorithm significantly improves the speech recognition performance and the signal-to-noise ratios.

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패널형 소음기의 투과손실 특성 연구 (Transmission Loss Characteristics of the Panel Type Silencer)

  • 서상현;김양한
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 춘계학술대회논문집
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    • pp.178-183
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    • 2003
  • This paper deals with transmission loss characteristics of the panel type silencer to control low frequency noise. The panel type silencer is composed of many Helmholtz resonators by side branch. Each resonator has high transmission loss on the narrow band of its resonance frequency. Direct arrangement of the resonators increases mainly the magnitude of transmission loss. If we arrange the resonators in a row, the peak and band of transmission loss are increased. This makes the resonator array to have high transmission loss in the broader band. Using this idea, we design a silencer that has broader band characteristics and smaller volume.

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방송용 오디오 콘텐츠 제작을 위한 비균등 선형 마이크로폰 어레이 기반의 음원분리 방법 (Non-uniform Linear Microphone Array Based Source Separation for Broadcasting Audio Content Production)

  • 전찬준;김홍국
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2015년도 추계학술대회
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    • pp.21-22
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    • 2015
  • 현재 UHDTV (Ultra-High-Definition TV) 시대에 사용될 멀티미디어 부호화로 MPEG-H를 표준화로 진행하고 있다. 향후 방송용 오디오 콘텐츠는 채널 오디오 콘텐츠에서 진화하여 객체 오디오 콘텐츠까지도 필요하게 된다. 이에 따라, 본 논문에서는 고품질의 방송용 오디오 콘텐츠를 제작하기 위한 비균등 선형 마이크로폰 어레이 기반의 음원분리 방법을 제안한다. 제안된 방법은 주어진 어레이 배치에 따라 채널간의 시간차를 분석하고, 이에 따른 객체 오디오 생성을 위한 음원분리 기술을 적용한다. 제안된 기법의 성능을 검증하기 위하여 음원분리도를 측정하였고, MVDR (Minimum Variance Distortionless Response) 빔형성기와 성능을 비교하였다. 비교 결과, 제안된 기법이 MVDR 빔형성기에 비하여 12.8% 높은 음원분리도 수치를 나타낸 것을 확인하였다.

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적응 정합 필터 마이크로폰 어레이를 이용한 음질 향상 (Speech Enhancement using Adaptive Matched Filter Microphone Array)

  • 이외형;최영근;김기만;박규식
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2002년도 하계학술발표대회 논문집 제21권 1호
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    • pp.205-208
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    • 2002
  • 최근 영상 회의 시스템에서 화자 위치 추정 및 음질 향상 기술이 연구되고 있다. 이 시스템에서는 마이크로폰 어레이를 이용하여, 화자의 위치를 파악하여 화자의 방향으로 카메라를 자동으로 조정해 주고 그 방향으로부터 입사되는 신호만을 수신할 수 있도록 한다. 이를 위해 마이크로폰 어레이가 연구되어져 왔다. 덜 연구에서는 시간에 따라 변화하는 음향 환경에 적응하는 적응 정합 필터 마이크로폰 어레이를 제안하고, 실험을 통해 그 성능을 고찰하였다.

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Non-contact surface wave testing of pavements: comparing a rolling microphone array with accelerometer measurements

  • Bjurstrom, Henrik;Ryden, Nils;Birgisson, Bjorn
    • Smart Structures and Systems
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    • 제17권1호
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    • pp.1-15
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    • 2016
  • Rayleigh wave velocity along a straight survey line on a concrete plate is measured in order to compare different non-destructive data acquisition techniques. Results from a rolling non-contact data acquisition system using air-coupled microphones are compared to conventional stationary accelerometer results. The results show a good match between the two acquisition techniques. Rolling measurements were found to provide a fast and reliable alternative to stationary system for stiffness determination. However, the non-contact approach is shown to be sensitive to unevenness of the measured surface. Measures to overcome this disadvantage are discussed and demonstrated using both forward and reverse rolling measurements.

Sound Visualization Method using Joint Time-Frequency Analysis for Visual Machine Condition Monitoring

  • Seo, Jung-Hee;Park, Hung-Bog
    • 한국컴퓨터정보학회논문지
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    • 제20권8호
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    • pp.53-59
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    • 2015
  • Noise from the surrounding environment, building structures and machine equipment have significant effects on daily life. Many solutions to this problem have been suggested by analyzing causes of noise generated from particular locations in general buildings or machine equipment and detecting defects of buildings or equipment. Therefore, this paper suggests a visualization technique of sounds by using the microphone array to measure sound sources from machines and perform the visual machine condition monitoring (VMCM). By analyzing sound signals and presenting effective sound visualization methods, it can be applied to identify machine's conditions and correct errors through real-time monitoring and visualization of noise generated from the plant machine equipment.