The JinYue Database for Huqin Music Emotion, Scene and Imagery Recognition

Abstract

Traditional Chinese music is a great treasure for China and the rest of the world, which is accompanied by variant traditional musical instruments and featured with distinct melodies within different dynasties. Developing an efficient music retrieval system for traditional Chinese music requires numerous such music data with rich and accurate annotations. However, existing databases usually consider popular and contemporary music, basic taxonomy, and a single task. In this work, we introduce the JinYue database of more than 1000 pieces of music played by variants of huqin (huqin music) spanning the age range of the 20th century to date. The database includes over 10,000 annotations of huqin music in terms of discrete emotion, scene, and imagery labels. We provide extensive benchmarks of multi-class classification results for emotion, scene, and imagery along with the database. Furthermore, due to the copyright, we develop a JinYue Music Exploring System to provide the information of over 1,000 pieces of music played by huqin, including huqin music metadata, audio features, and annotations. We will continuously collect more music by Chinese musical instruments categories to enrich the JinYue database. This database aims to push forward the research in affective computing, music information retrieval, and beyond.