  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 the training data, which relies on techniques and
is not able to be manually labeled. With the Duration Informed Attention
Network (DurIAN), this paper makes use of musical note instead of pitch
contours for expressive opera singing synthesis. The proposed method enables
human annotation being combined with automatic extracted features to be used as
training data thus the proposed method gives extra flexibility in data
collection for Peking opera singing synthesis. Comparing with the expressive
singing voice of Peking opera synthesised by pitch contour based system, the
proposed musical note based system produces comparable singing voice in Peking
opera with expressiveness in various aspects.
