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    음성의 준주기적 현상 분석 및 구현에 관한 연구 = Analysis and synthesis of pseudo-periodicity on voice using source model approach

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    https://www.riss.kr/link?id=A102635100

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The purpose of this work is to analyze and synthesize the pseudo-periodicity of voice using a source model. A speech signal has periodic characteristics; however, it is not completely periodic. While periodicity contributes significantly to the production of prosody, emotional status, etc., pseudo-periodicity contributes to the distinctions between normal and abnormal status, the naturalness of normal speech, etc. Measurement of pseudo-periodicity is typically performed through parameters such as jitter and shimmer. For studying the pseudo-periodic nature of voice in a controlled environment, through collected natural voice, we can only observe the distributions of the parameters, which are limited by the size of collected data. If we can generate voice samples in a controlled manner, experiments that are more diverse can be conducted. In this study, the probability distributions of vowel pitch variation are obtained from the speech signal. Based on the probability distribution of vocal folds, pulses with a designated jitter value are synthesized. Then, the target and re-analyzed jitter values are compared to check the validity of the method. It was found that the jitter synthesis method is useful for normal voice synthesis.
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    The purpose of this work is to analyze and synthesize the pseudo-periodicity of voice using a source model. A speech signal has periodic characteristics; however, it is not completely periodic. While periodicity contributes significantly to the produc...

    The purpose of this work is to analyze and synthesize the pseudo-periodicity of voice using a source model. A speech signal has periodic characteristics; however, it is not completely periodic. While periodicity contributes significantly to the production of prosody, emotional status, etc., pseudo-periodicity contributes to the distinctions between normal and abnormal status, the naturalness of normal speech, etc. Measurement of pseudo-periodicity is typically performed through parameters such as jitter and shimmer. For studying the pseudo-periodic nature of voice in a controlled environment, through collected natural voice, we can only observe the distributions of the parameters, which are limited by the size of collected data. If we can generate voice samples in a controlled manner, experiments that are more diverse can be conducted. In this study, the probability distributions of vowel pitch variation are obtained from the speech signal. Based on the probability distribution of vocal folds, pulses with a designated jitter value are synthesized. Then, the target and re-analyzed jitter values are compared to check the validity of the method. It was found that the jitter synthesis method is useful for normal voice synthesis.

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    목차 (Table of Contents)

    • Abstract
    • 1. 서론
    • 2. 준주기성
    • 4. 준주기적 현상의 구현결과
    • 5. 결론
    • Abstract
    • 1. 서론
    • 2. 준주기성
    • 4. 준주기적 현상의 구현결과
    • 5. 결론
    • 참고문헌
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    참고문헌 (Reference)

    1 Titze, I. R., "Workshop on Acoustic Voice Analysis" National Center for Voice and Speech 1-36, 1995

    2 Deshmukh, O., "Use of temporal information : detection of periodicity, aperiodicity, and pitch in speech" 13 (13): 776-786, 2005

    3 Ruinskiy, D., "Stochastic models of pitch jitter and amplitude shimmer for voice modification" 489-493, 2008

    4 Kreiman, J., "Jitter, shimmer, and noise in pathological voice quality perception" 57-61, 2003

    5 Alzamendi, G. A., "Evaluation of a new model for vowels synthesis with perturbations in acoustic parameters" 43 (43): 1-6, 2012

    6 Kay Elemetrics, "Disordered Voice Database of the Massachusetts Eye and Ear Infirmary Voice and Speech Lab (Model 4337)" Kay Elemetrics 2009

    7 Kreiman, J., "Analysis and synthesis of pathological voice quality" UCLA 2006

    8 Fujimura, O., "An approximation to voice aperiodicity" 16 (16): 68-72, 1968

    9 Teixeira, J. P., "Accuracy of Jitter and Shimmer Measurement" 16 : 1190-1199, 2014

    10 Endo, Y., "A stochastic model of fundamental period perturbation and its application to perception of pathological voice quality" 772-775, 1996

    1 Titze, I. R., "Workshop on Acoustic Voice Analysis" National Center for Voice and Speech 1-36, 1995

    2 Deshmukh, O., "Use of temporal information : detection of periodicity, aperiodicity, and pitch in speech" 13 (13): 776-786, 2005

    3 Ruinskiy, D., "Stochastic models of pitch jitter and amplitude shimmer for voice modification" 489-493, 2008

    4 Kreiman, J., "Jitter, shimmer, and noise in pathological voice quality perception" 57-61, 2003

    5 Alzamendi, G. A., "Evaluation of a new model for vowels synthesis with perturbations in acoustic parameters" 43 (43): 1-6, 2012

    6 Kay Elemetrics, "Disordered Voice Database of the Massachusetts Eye and Ear Infirmary Voice and Speech Lab (Model 4337)" Kay Elemetrics 2009

    7 Kreiman, J., "Analysis and synthesis of pathological voice quality" UCLA 2006

    8 Fujimura, O., "An approximation to voice aperiodicity" 16 (16): 68-72, 1968

    9 Teixeira, J. P., "Accuracy of Jitter and Shimmer Measurement" 16 : 1190-1199, 2014

    10 Endo, Y., "A stochastic model of fundamental period perturbation and its application to perception of pathological voice quality" 772-775, 1996

    11 Hillenbrand, J., "A methodological study of perturbation and additive noise in synthetically generated voice signals" 30 : 448-461, 1987

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