• 제목/요약/키워드: Sound fundamental frequency

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36kHz 초음파 반응기에서의 원주파수 및 파생주파수의 음압 분포 분석 (The Analysis of Acoustic Emission Spectra in a 36 kHz Sonoreactor)

  • 손영규
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제21권6호
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    • pp.128-134
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    • 2016
  • Acoustic emission spectra was analyzed to investigate the distribution of sound pressure in a 36 kHz sonoreactor. The sound pressure of fundamental frequency (f: 36 kHz), harmonics (2f: 72 kHz, 3f: 108 kHz, 4f: 144 kHz, 5f: 180 kHz, 6f: 216 kHz), and subharmonics (1.5f: 54 kHz, 2.5f: 90 kHz, 3.5f: 126 kHz, 4.5f: 162 kHz, 5.5f: 198 kHz, 6.5f; 234 kHz) was measured at every 5 cm from the ultrasonic transducer using a hydrophone and a spectrum analyzer. It was revealed that the input power of ultrasound, the application of mechanical mixing, and the concentration of SDS affected the sound pressure distributions of the fundamental frequency and total detected frequencies frequencies significantly. Moreover a linear relationship was found between the average total sound pressure and the degree of sonochemical oxidation while there was no significant linear relationship between the average sound pressure of fundamental frequency and the degree of sonochemical oxidation.

비침습적 관절 질환 모니터링을 위한 슬관절 음향분석 (The acoustical analysis of knee sound for non-invasive diagnosis of articular pathology)

  • 김거식;박경세;김경섭;송철규
    • 대한전기학회논문지:시스템및제어부문D
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    • 제54권12호
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    • pp.737-740
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    • 2005
  • This paper describes the possibility of evaluating and classifying arthritic pathology using the acoustical analysis of knee joint sound. Six normal subjects and 11 patients with knee problems were enrolled. Patients were divided into the 1st patient group which required an orthopeadic surgery and the 2nd patient group of osteoarthritis. During sitting and standing periods, subjects' active knee flexion and extension were monitored. Fundamental frequency, mean amplitude of pitch, jitter and shimmer were analyzed according to the position. The results demonstrate that the values of fundamental frequency, jitter and shimmer of the 2nd patient group were larger than others and changed unstably. The values of the standing position were larger than the sitting position.

성문전도를 이용한 발성훈련 시스템 (Vocal Exercise System Using Electroglottography)

  • 이제현;김지혜;강구태;정동근
    • 센서학회지
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    • 제22권2호
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    • pp.156-161
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    • 2013
  • This study was aimed to implement the electroglottography (EGG) system for analyzing fundamental frequency of the phonation. EGG was recorded from the conductance between ring electrodes attached to the neck skin area near thyroid cartilage with high frequency carrier electric signals during vocalization, and voice signal was recorded with microphone simultaneously. EGG and voice signals were transmitted to the audio port in PC and recorded with stereo sound recording program. From the digitized data, several parameters such as pitch, jitter, shimmer, CQ and SQ were analyzed from the vowel sounds. For the voice training, sound fundamental frequency was displayed during the vocalization and singing a song using pitches analyzed from the EGG. The system implemented in this study could be used for vocal exercise.

선분 근사법과 곡선의 적합성을 이용한 피아노 음의 모델링 (Modeling of Piano Sound Using Method of Line-Segment Approximation and Curve Fitting)

  • 임훈;정의필
    • 한국음향학회지
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    • 제19권3호
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    • pp.86-91
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    • 2000
  • 본 논문에서는 피아노 음을 FFT(Fast Fourier Transform)를 이용하여 주파수 영역으로 변환한 후, 크기(magnitude)와 위상(phase)에 대한 특성들을 분석한다. 이 분석한 결과로 크기와 위상을 모델링하여 파라미터를 생성한다. 크기의 특성에서 기본주파수와 고조파 부분은 다른 부분에 비해 크기가 매우 크다. 그래서 이 부분의 모델링은 오차를 줄이기 위해 곡선의 적합성(Curve Fitting) 방법을 이용하였고, 노이즈 부분의 모델링은 기본주파수 전후의 노이즈가 피아노 음색 특성에 중요한 역할을 하고 불규칙하므로 선분 근사법을 이용하였으며, 크기가 작고 완만하게 변하는 나머지 노이즈 부분은 곡선의 적합성을 이용하였다. 위상은 크기에 적응한 방법과 동일하게 적용하였다. 생성된 파라미터로 크기와 위상을 만들어 역변환 FFT를 하면 피아노 원음에 매우 근접한 음을 얻을 수 있다.

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춘천시민의 종의 진동 및 음향 특성 (Vibration and Sound Characteristic of the Chun-cheon Citizen's Bell)

  • 김석현;김태형;김윤호;한영호
    • 산업기술연구
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    • 제26권A호
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    • pp.81-88
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    • 2006
  • The Chun-cheon Citizen's Bell was cast in memory of hosting the 2010 world leasure conference and a striking ceremony was held at the city hall on December 31, 2005. In this study, vibration and sound of the bell are measured and the property of the magnificent sound of the bell is scientifically investigated. Frequency components making the sound are identified and how the frequency components decrease with time is observed using waterfall plot(3-dimensional frequency spectrum). Beat characteristics of the hum(1st frequency) and the fundamental(2nd frequency)are examined by experiment. Directivity of the sound radiation of the bell is examined by measuring the vibration and sound in several directions. Duration of the vibration and the sound is estimated using damping ratio.

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한국어 음성합성기의 성능 향상을 위한 합성 단위의 유무성음 분리 (Separation of Voiced Sounds and Unvoiced Sounds for Corpus-based Korean Text-To-Speech)

  • 홍문기;신지영;강선미
    • 음성과학
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    • 제10권2호
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    • pp.7-25
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    • 2003
  • Predicting the right prosodic elements is a key factor in improving the quality of synthesized speech. Prosodic elements include break, pitch, duration and loudness. Pitch, which is realized by Fundamental Frequency (F0), is the most important element relating to the quality of the synthesized speech. However, the previous method for predicting the F0 appears to reveal some problems. If voiced and unvoiced sounds are not correctly classified, it results in wrong prediction of pitch, wrong unit of triphone in synthesizing the voiced and unvoiced sounds, and the sound of click or vibration. This kind of feature is usual in the case of the transformation from the voiced sound to the unvoiced sound or from the unvoiced sound to the voiced sound. Such problem is not resolved by the method of grammar, and it much influences the synthesized sound. Therefore, to steadily acquire the correct value of pitch, in this paper we propose a new model for predicting and classifying the voiced and unvoiced sounds using the CART tool.

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A Basic Study on the Conversion of Sound into Color Image using both Pitch and Energy

  • Kim, Sung-Ill
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제12권2호
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    • pp.101-107
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    • 2012
  • This study describes a proposed method of converting an input sound signal into a color image by emulating human synesthetic skills which make it possible to associate an sound source with a specific color image. As a first step of sound-to-image conversion, features such as fundamental frequency(F0) and energy are extracted from an input sound source. Then, a musical scale and an octave can be calculated from F0 signals, so that scale, energy and octave can be converted into three elements of HSI model such hue, saturation and intensity, respectively. Finally, a color image with the BMP file format is created as an output of the process of the HSI-to-RGB conversion. We built a basic system on the basis of the proposed method using a standard C-programming. The simulation results revealed that output color images with the BMP file format created from input sound sources have diverse hues corresponding to the change of the F0 signals, where the hue elements have different intensities depending on octaves with the minimum frequency of 20Hz. Furthermore, output images also have various levels of chroma(or saturation) which is directly converted from the energy.

성문(聲紋)분석법에 의한 사상체질 진단의 객관화 연구(I) (An objective study of sasang constitution diagnosis by sound analysis)

  • 김달래;박성식;권기록
    • 사상체질의학회지
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    • 제10권1호
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    • pp.65-80
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    • 1998
  • Proceeding an objective Study of sasang constitution diagnosis by Sound Analysis which uses Computed Sound lab(CSL), we verified the confidence level of Questionnaire of Sasang Constitution classification II(QSCC II) and the first results of Sound Analysis for verifying correlation between the physical character and Sound character are as follows. 1. The confidence level of QSCC II is 70.8% to Soeumin, 60.8% to Soyangin, 74.5% to Taeumin, and 70.08% in total. But, the actual results of verifying the confidence level after making 100 persons an object of study, are that the confidence level of that is 55.10% to Soeumin, 30.77% to Soyangin, 80.00% to Taeumin, and 55.29% in total. So it doesn't coincide with the confidence lecel of QSCC II 70.8%. 2. The results of verifying the confidence level about other 134 persons after enough explanation before the constitutional diagnosis by QSCC II are that the confidence of that is 71.08 to Soeumin, 54.76% to Soyangin 81.82% to Taeumin, and 69.22% in total. 3. The results of verifying the correlation between B.M.I. and Sasang Costitution are that there are significant differences below P<0.001 between Taeumin and Soeumin, and between Taeumin and Soyangin. 4. Height and Weight influence on a fundamental frequency and formant frequency. 5. There are differences for every constitutions in a amplitude when we nave a Sound analysis. As aboves, it is considered that we can find the differences among the constitutional groups, if we have a Sound analysis of the constitutional Sound characters.

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TV 스피커의 저주파수 신호 재생 개선 (Improving Low Frequency Signal Reproduction in TV Audio)

  • 마나쉬 아로라;오윤학;김승훈;이혁재;장성철
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 2004년도 춘계학술발표대회 논문집 제23권 1호
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    • pp.275-278
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    • 2004
  • In TV sound system, loudspeakers are subject to severe size constraints. The small size of the transducer affects the low frequency signal performance of the system. Bass signal performance contributes significantly to the user perceived sound quality and a good bass signal reproduction is essential. Increasing the sound energy in the bass signal range is an unviable solution since the gain required are exceedingly high and signal distortion occurs because of the speaker overload. Recently methods are being proposed to invoke low frequency illusion using psychoacoustic phenomena of the missing fundamental. This paper proposes a simple and effective signal processing method to create bass signal illusion in TV speakers using the missing fundamental effect, at a complexity of 12 MIPS on Motorola 56371 audio DSP.

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HSI 히스토그램에 기초한 이미지-사운드 변환 (Conversion of Image into Sound Based on HSI Histogram)

  • 김성일
    • 한국음향학회지
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    • 제30권3호
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    • pp.142-148
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    • 2011
  • 본 연구는 컬러이미지에서 특정 사운드를 연상하는 인간의 공감각적 기능을 모방하는 지능로봇의 개발을 최종 목표로 하고 있으며, 이는 컬러이미지와 사운드의 상호변환에 기초하여 이루어질 수 있다. 최종 목표의 첫 번째 단계로서, 본 연구는 컬러 이미지에서 사운드로의 변환을 이용한 기본 시스템의 구축에 초점을 맞추었다. 본 연구에서는 빛과 소리사이의 물리적 주파수 정보로부터 그 유사성에 기초하여 컬러이미지에서 사운드로 변환하는 방법을 제시한다. 컬러이미지에서 사운드로 변환하는 방법은 RGB-to-HSI 컬러모델 변환을 통한 HSI 히스토그램을 사용하고 Microsoft Visual C++을 이용하여 코딩함으로써 구현되었다. 두 가지 컬러이미지를 사용하여 시뮬레이션 실험을 하였고, 그 결과, 각각의 입력 컬러이미지의 색상(Hue), 채도 (Saturation) 및 명도 (Intensity)를 사운드의 기본주파수 (F0: Fundamental Frequency), 하모닉 (Harmonics) 및 옥타브 (Octave)로 각각 변환한다. 제안된 시스템을 통하여 변환된 사운드 요소들을 Csound를 이용, 합성함으로써 웨이브(wav) 파일 포맷 음원을 최종 생성하였다.