1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SD2023
Finding Tori: Self-supervised Learning for Analyzing Korean Folk Song
Danbinaerin Han, Rafael Caro Repetto, Dasaem Jeong
In this paper, we introduce a computational analysis of the field recording dataset of approximately 700 hours of Korean folk songs, which were recorded around 1980-90s. Because mo…
cs.SD2017★ 1 cited
Creating an A Cappella Singing Audio Dataset for Automatic Jingju Singing Evaluation Research
Rong Gong, Rafael Caro Repetto, Xavier Serra
The data-driven computational research on automatic jingju (also known as Beijing or Peking opera) singing evaluation lacks a suitable and comprehensive a cappella singing audio da…