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Score-informed syllable segmentation for a cappella singing voice with convolutional neural networks
[article]
2017
arXiv
pre-print
This paper introduces a new score-informed method for the segmentation of jingju a cappella singing phrase into syllables. The proposed method estimates the most likely sequence of syllable boundaries given the estimated syllable onset detection function (ODF) and its score. Throughout the paper, we first examine the jingju syllables structure and propose a definition of the term "syllable onset". Then, we identify which are the challenges that jingju a cappella singing poses. Further, we
arXiv:1707.03544v1
fatcat:3pnipfudefgsnh3mdojpy7vi5y