Construction and Applications of the Gongche Notation Dataset in Jiugong Dacheng Nanbei Ci Gongpu
This research involves the digital processing of traditional Chinese music sheets from the Jiugong Dacheng Nanbei Ci Gongpu and their translations,resulting in the construction of a multi-source,heterogeneous dataset of traditional Chinese music.This dataset contains both Gongche notation and lyrics,along with their corresponding translations.Initially,a small sample dataset was manually created for over 700 songs,which was then used to train a deep learning-based translation model.This model was subsequently applied to translate approximately 5800 additional songs,culminating in a comprehensive dataset of 6563 songs.Several exploratory applications were conducted using this dataset,including morphological analysis to examine the relationship between the tones of the lyrics and the dynamics of the melodies.Additionally,an online display platform for the digitized songs was established.This study aims to bridge the gap between the fields of music computation and traditional Chinese music,offering new insights for the application of machine learning in the understanding of traditional music.
NETL
NSTL
万方数据
