4 citations · 7 across the 3 of their papers we have counts for
3 papers
eess.AS2020
Transfer Learning for Improving Singing-voice Detection in Polyphonic Instrumental Music
Yuanbo Hou, Frank K. Soong, Jian Luan +1
Detecting singing-voice in polyphonic instrumental music is critical to music information retrieval. To train a robust vocal detector, a large dataset marked with vocal or non-voca…
eess.AS2020★ 4 cited
Peking Opera Synthesis via Duration Informed Attention Network
Yusong Wu, Shengchen Li, Chengzhu Yu +4
Peking Opera has been the most dominant form of Chinese performing art since around 200 years ago. A Peking Opera singer usually exhibits a very strong personal style via introduci…
cs.CL2019★ 3 cited
Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network
Yusong Wu, Shengchen Li, Chengzhu Yu +4
This paper presents a method that generates expressive singing voice of Peking opera. The synthesis of expressive opera singing usually requires pitch contours to be extracted as t…