인공지능 기반 발레반주를 위한 데이터 셋 연구
A study of data set for ballet accompaniment on artificial intelligence
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초록
This study aimed to provide the data set for developing ballet accompaniment on artificial intelligence. For providing a high-quality data set, this study analyzed the ballet class music and extracted the unique elements of ballet accompaniment. The analysis presents the musical genre into eight categories according to the speed and nuance of the movement: from slow and elegant music to fast and bright music. It also provides the characteristics of ballet class music in nine categories: count, form, phrase, beat, tempo, dynamic, accompaniment type, accent, pedal. These are essential factors for expressing the ballet movement. And these factors are unique characteristics of ballet music that are differentiated from classical music. This study provides these factors as basic data. It expects the development of future dance music and suggests further research combined with technology.
Abstract
This study aimed to provide the data set for developing ballet accompaniment on artificial intelligence. For providing a high-quality data set, this study analyzed the ballet class music and extracted the unique elements of ballet accompaniment. The analysis presents the musical genre into eight categories according to the speed and nuance of the movement: from slow and elegant music to fast and bright music. It also provides the characteristics of ballet class music in nine categories: count, form, phrase, beat, tempo, dynamic, accompaniment type, accent, pedal. These are essential factors for expressing the ballet movement. And these factors are unique characteristics of ballet music that are differentiated from classical music. This study provides these factors as basic data. It expects the development of future dance music and suggests further research combined with technology.
참고문헌 (18)
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