억양의 근접복사 유형화를 이용한 감정음성의 음향분석
An acoustical analysis of emotional speech using close-copy stylization of intonation curve
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참고문헌
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초록
A close-copy stylization of intonation curve was used for an acoustical analysis of emotional speech. For the analysis, 408utterances of five emotions (happiness, anger, fear, neutral and sadness) were processed to extract acoustical feature values. The results show that certain pitch point features (pitch point movement time and pitch point distance within a sentence) andsentence level features (pitch range of a final pitch point, pitch range of a sentence and pitch slope of a sentence) areaffected by emotions. Pitch point movement time, pitch point distance within a sentence and pitch slope of a sentence showno significant difference between male and female participants. The emotions with high arousal (happiness and anger) areconsistently distinguished from the emotion with low arousal (sadness) in terms of these acoustical features. Emotions withhigher arousal show steeper pitch slope of a sentence. They have steeper pitch slope at the end of a sentence. They alsoshow wider pitch range of a sentence. The acoustical analysis in this study implies the possibility that the measurement ofthese acoustical features can be used to cluster and identify emotions of speech.
Abstract
A close-copy stylization of intonation curve was used for an acoustical analysis of emotional speech. For the analysis, 408utterances of five emotions (happiness, anger, fear, neutral and sadness) were processed to extract acoustical feature values. The results show that certain pitch point features (pitch point movement time and pitch point distance within a sentence) andsentence level features (pitch range of a final pitch point, pitch range of a sentence and pitch slope of a sentence) areaffected by emotions. Pitch point movement time, pitch point distance within a sentence and pitch slope of a sentence showno significant difference between male and female participants. The emotions with high arousal (happiness and anger) areconsistently distinguished from the emotion with low arousal (sadness) in terms of these acoustical features. Emotions withhigher arousal show steeper pitch slope of a sentence. They have steeper pitch slope at the end of a sentence. They alsoshow wider pitch range of a sentence. The acoustical analysis in this study implies the possibility that the measurement ofthese acoustical features can be used to cluster and identify emotions of speech.
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