12 citations · 17 across the 10 of their papers we have counts for
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cs.CL2023★ 1 cited
Joint Learning of Wording and Formatting for Singable Melody-to-Lyric Generation
Longshen Ou, Xichu Ma, Ye Wang
Despite progress in melody-to-lyric generation, a substantial singability gap remains between machine-generated lyrics and those written by human lyricists. In this work, we aim to…
cs.CL2023
Songs Across Borders: Singable and Controllable Neural Lyric Translation
Longshen Ou, Xichu Ma, Min-Yen Kan +1
The development of general-domain neural machine translation (NMT) methods has advanced significantly in recent years, but the lack of naturalness and musical constraints in the ou…
cs.SD2023★ 1 cited
Deep Audio-Visual Singing Voice Transcription based on Self-Supervised Learning Models
Xiangming Gu, Wei Zeng, Jianan Zhang +2
Singing voice transcription converts recorded singing audio to musical notation. Sound contamination (such as accompaniment) and lack of annotated data make singing voice transcrip…