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      KCI등재 SCOPUS

      비브라토음의 비정현파적인 주파수 궤적의 특성 분석에 관한 연구 = A study on the characteristic analysis of non-sinusoidal frequency trajectories of vibrato tones

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      https://www.riss.kr/link?id=A107876293

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      다국어 초록 (Multilingual Abstract)

      Vibrato corresponds to a modulation of frequency and is one of the most frequently used techniques to enrich vocal and musical instrument sounds. Whereas the fundamental frequency trajectories of vibrato tones are generally modeled as a sinusoid, they are sometimes observed to be non-sinusoidal. In this paper, we propose a method to analyze the characteristics of non-sinusoidal fundamental frequency trajectories of vibrato sounds. The proposed method performs Fast Fourier Transform (FFT)-based harmonic analysis on the frequency trajectory, analyzes vibrato parameters, and calculates a sinusoid purity factor. We applied the proposed method to flute, viola, and saxophone vibrato tones, whose results showed the effectiveness of the proposed method.
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      Vibrato corresponds to a modulation of frequency and is one of the most frequently used techniques to enrich vocal and musical instrument sounds. Whereas the fundamental frequency trajectories of vibrato tones are generally modeled as a sinusoid, they...

      Vibrato corresponds to a modulation of frequency and is one of the most frequently used techniques to enrich vocal and musical instrument sounds. Whereas the fundamental frequency trajectories of vibrato tones are generally modeled as a sinusoid, they are sometimes observed to be non-sinusoidal. In this paper, we propose a method to analyze the characteristics of non-sinusoidal fundamental frequency trajectories of vibrato sounds. The proposed method performs Fast Fourier Transform (FFT)-based harmonic analysis on the frequency trajectory, analyzes vibrato parameters, and calculates a sinusoid purity factor. We applied the proposed method to flute, viola, and saxophone vibrato tones, whose results showed the effectiveness of the proposed method.

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      참고문헌 (Reference)

      1 E. Prame, "Vibrato extent and intonation in professional Western lyric singing" 102 : 616-621, 1997

      2 C. Dromey, "The effects of emotional expression on vibrato" 29 : 170-181, 2015

      3 J. C. Brown, "Pitch center of stringed instrument vibrato tones" 100 : 1728-1735, 1996

      4 J. M. Geringer, "Perception of melodic intonation in perfor mances with and without vibrato" 43 : 675-685, 2015

      5 E. Prame, "Measurements of the vibrato rate of ten singers" 96 : 1979-1984, 1994

      6 I. Arroabarren, "Measurement of vibrato in lyric singers" 51 : 660-665, 2002

      7 H. S. Pang, "High-accuracy frequency analysis of harmonic signals using improved phase difference estimation and window switching" 46 : 342-355, 2017

      8 T. Nose, "HMM-based expressive singing voice synthesis with singing" 34 : 308-322, 2015

      9 J. C. Brown, "Frequency ratios of spectral components of musical sounds" 99 : 1210-1218, 1996

      10 H. S. Pang, "Discrete Fourier transform-based method for analysis of a vibrato tone" 49 : 307-319, 2020

      1 E. Prame, "Vibrato extent and intonation in professional Western lyric singing" 102 : 616-621, 1997

      2 C. Dromey, "The effects of emotional expression on vibrato" 29 : 170-181, 2015

      3 J. C. Brown, "Pitch center of stringed instrument vibrato tones" 100 : 1728-1735, 1996

      4 J. M. Geringer, "Perception of melodic intonation in perfor mances with and without vibrato" 43 : 675-685, 2015

      5 E. Prame, "Measurements of the vibrato rate of ten singers" 96 : 1979-1984, 1994

      6 I. Arroabarren, "Measurement of vibrato in lyric singers" 51 : 660-665, 2002

      7 H. S. Pang, "High-accuracy frequency analysis of harmonic signals using improved phase difference estimation and window switching" 46 : 342-355, 2017

      8 T. Nose, "HMM-based expressive singing voice synthesis with singing" 34 : 308-322, 2015

      9 J. C. Brown, "Frequency ratios of spectral components of musical sounds" 99 : 1210-1218, 1996

      10 H. S. Pang, "Discrete Fourier transform-based method for analysis of a vibrato tone" 49 : 307-319, 2020

      11 T. K. L. Ho, "Development of a computer-based visualised quanti-tative learning system for playing violin vibrato" 46 : 71-81, 2015

      12 H. S. Pang, "Automatic detection of vibrato in monophonic music" 38 : 1135-1138, 2005

      13 Q. Han, "Acoustic analyses of the singing vibrato in traditional Peking Opera" 31 : 511.e1-511.e9, 2017

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.23 0.23 0.22
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.2 0.18 0.398 0.07
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