8 citations · 12 across the 6 of their papers we have counts for
6 papers
Learning Music Style for Piano Arrangement Through Cross-Modal Bootstrapping
Jingwei Zhao, Gus Xia, Ziyu Wang +1
What is music style? Though often described using text labels such as "swing," "classical," or "emotional," the real style remains implicit and hidden in concrete music examples. I…
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…
Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement
Jingwei Zhao, Gus Xia, Ye Wang
Music rearrangement is a common music practice of reconstructing and reconceptualizing a piece using new composition or instrumentation styles, which is also an important task of a…
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…
Domain Adversarial Training on Conditional Variational Auto-Encoder for Controllable Music Generation
Jingwei Zhao, Gus Xia, Ye Wang
The variational auto-encoder has become a leading framework for symbolic music generation, and a popular research direction is to study how to effectively control the generation pr…
Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention
Jingwei Zhao, Gus Xia, Ye Wang
We propose Beat Transformer, a novel Transformer encoder architecture for joint beat and downbeat tracking. Different from previous models that track beats solely based on the spec…