• 음성과학
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• 제9권2호
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• pp.1-11
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• 2002

This paper aims to provide a guideline for modelling speaker identification and speaker verification by comparing voice similarities between brothers. Five pairs of brothers who are believed to have similar voices participated in this experiment. Before conducted in the experiment, perceptual tests were measured if the voices were similar between brothers. The words were measured in both isolation and context, and the subjects were asked to read five times with about three seconds of interval between readings. Recordings were made at natural speed in a quiet room. The data were analyzed in pitch and formant frequencies using CSL (Computerized Speech Lab), PCQuirer and MDVP (Multi -dimensional Voice Program). It was found that data of the initial vowels are much more similar and homogeneous than those of vowels in other position. The acoustic data showed that voice similarities are strikingly high in both pitch and formant frequencies. It was also found that the correlation coefficient was not significant between parameters above.

• 음성과학
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• 제8권3호
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• pp.43-50
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• 2001

This paper deals with voice similarities between sisters who are supposed to have common physiological characteristics from a single biological mother. Nine pairs of sisters who are believed to have similar voices participated in this experiment. The speech samples obtained from one pair of sisters were eliminated in the analysis because their perceptual score was relatively low. The words were measured in both isolation and context, and the subjects were asked to read the text five times with about three seconds of interval between readings. Recordings were made at natural speed in a quiet room. The data were analyzed in pitch and formant frequencies using CSL (Computerized Speech Lab) and PCQuirer. It was found that data of the initial vowels are much more similar and homogeneous than those of vowels in other positions. The acoustic data showed that voice similarities are strikingly high in both pitch and formant frequencies. It is assumed that statistical data obtained from this experiment can be used as a guideline for modelling speaker identification and speaker verification.

• 한국통신학회논문지
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• 제31권5C호
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• pp.548-555
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• 2006

본 논문에서는 사상 의학에서 가장 중요한 사상 체질 분류에 대한 방법론을 제안하고자 한다. 기존에 사상 체질 분류를 위해 사용해 온 방법들은 대개 용모사기와 체형기상에 의한 방법이었다. 또한 QSCC, QSCCII라고 불리우는 설문지를 이용하거나 사람이 말하는 음성을 듣고 판별하는 법등과 최근에는 체질 침이나 약물 반응 등의 방법도 사상 체질 분류를 위해 사용되고 있다. 그러나 이러한 방법들은 대개가 임상의들의 직관에 의지하는 방법들이 대부분으로 이와 같은 임상의들의 직관을 정량화하여 기기로 구현하는 것이 보다 정확하고 유용한 사상 체질 분류 방법이 되리라 사료된다. 이를 위해 본 논문에서는 음성 신호 분석에 의해 사상 체질을 분류하는 방법에 대해 제안하고자 한다. 각 사상 체질별로 음성 특성을 분류하고 이를 통해 피치, 인텐서티, 포먼트 값의 특징을 체질별로 차이점과 유사성을 분류하여 사상 체질 분류를 행하고자 한다. 끝으로 실험에 의해 제안한 방법의 유용성을 입증하고자 한다.