Reference

  Li Z, Liang X, Liu J, et al. Dcmi: A database of chinese musical instruments[J]. 2018.

  Zhaorui Liu, & Zijin Li. (2021). Music Data Sharing Platform for Computational Musicology Research (CCMUSIC DATASET) (1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5676893

  李子晋, 韩宝强. 中国传统乐器音响数据库构建研究[J]. 中国音乐学, 2020(02):92-102+2.

  Liang X, Li Z, Liu J, et al. Constructing a multimedia Chinese musical instrument database[C]//Proceedings of the 6th Conference on Sound and Music Technology (CSMT). Springer, Singapore, 2019: 53-60.

  Li Z, Liang X, Liu J, et al. DCMI: A Database of Chinese Musical Instruments[J].

  李子晋, 蒋超亚, 陈晓鸥, 马英浩, 韩宝强. 基于卷积循环神经网络的中国民族复音音乐的乐器活动检测[J]. 复旦学报(自然科学版), 2020, 59(05):511-516.

  李荣锋, 谢祎凡, 李子晋, 李学明. 基于卷积神经网络的中国乐器分类[J]. 复旦学报(自然科学版), 2020, 59(05): 517-522.

  李子晋, 江益靓, 梁晓晶. 基于主观感知得分与客观音频特征的中国民族乐器音色相似性的研究[J]. 复旦学报(自然科学版), 2020, 59(03): 338-345.

  李子晋, 于帅, 肖畅, 耿瑜曼, 钱文琪, 高永伟, 李伟. CCMusic: 用于MIR研究的中国音乐数据库建设[J]. 复旦学报(自然科学版), 2019, 58(03):351-357.

  江益靓, 孙校珩, 梁晓晶, 子晋, 李伟. 基于客观特征的民族乐器音色分析[J]. 复旦学报(自然科学版), 2020,59(03):346-353+359.

  Jiang W, Liu J, Li Z, et al. Analysis and modeling of timbre perception features of chinese musical instruments[C]//2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS). IEEE, 2019: 191-195.

  江益靓, 张旭龙, 邓晋, 张文强, 李伟. 数据增强基础上使用卷积神经网络进行闻诊（英文）[J]. 复旦学报(自然科学版), 2019, 58(03):328-334.

  Zehao Wang, Jingru Li, Xiaoou Chen, Zijin Li, Shicheng Zhang, Baoqiang Han, Deshun Yang: Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example. CoRR abs/1910.09021 (2019)

  Li R, Zhang M. Singing-Voice Timbre Evaluations Based on Transfer Learning[J]. Applied Sciences, 2022, 12(19): 9931.

  Nothing are available

  任伟鑫,车明锦,汪照文,孟文武,李沁雨,胡佳弋,夏凡,李伟.CNPM Database:一个用于计算音乐学的中国民族五声调式数据库[J].复旦学报(自然科学版),2022,61(05):555-563.DOI:10.15943/j.cnki.fdxb-jns.20221017.008.

  Dichucheng Li, Yulun Wu, Qinyu Li, Jiahao Zhao, Yi Yu, Fan Xia, and Wei Li, "Playing technique detection by fusing note onset information in guzheng performance," in Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR, Bengaluru, India, 2022, pp. 314-320.

  Kejun Zhang, Hui Zhang, Simeng Li, Changyuan Yang, and Lingyun Sun. 2018. The PMEmo Dataset for Music Emotion Recognition. In Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR '18). Association for Computing Machinery, New York, NY, USA, 135–142.