8 citations · 22 across the 8 of their papers we have counts for
9 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…
BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps
Lekai Qian, Haoyu Gu, Jingwei Zhao +1
Tokenizing music to fit the general framework of language models is a compelling challenge, especially considering the diverse symbolic structures in which music can be represented…
Deep Learning Approaches for Multimodal Intent Recognition: A Survey
Jingwei Zhao, Yuhua Wen, Qifei Li +8
Intent recognition aims to identify users' underlying intentions, traditionally focusing on text in natural language processing. With growing demands for natural human-computer int…
Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization
Longshen Ou, Jingwei Zhao, Ziyu Wang +3
We present a unified framework for automatic multitrack music arrangement that enables a single pre-trained symbolic music model to handle diverse arrangement scenarios, including…
SA-GS: Scale-Adaptive Gaussian Splatting for Training-Free Anti-Aliasing
Xiaowei Song, Jv Zheng, Shiran Yuan +5
In this paper, we present a Scale-adaptive method for Anti-aliasing Gaussian Splatting (SA-GS). While the state-of-the-art method Mip-Splatting needs modifying the training procedu…
Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
Jingwei Zhao, Gus Xia, Ziyu Wang +1
In the realm of music AI, arranging rich and structured multi-track accompaniments from a simple lead sheet presents significant challenges. Such challenges include maintaining tra…