activity
20182026
most citedPOP909: A Pop-song Dataset for Music Arrangement Generation

52 citations · 333 across the 67 of their papers we have counts for

collaborators
Showing 2022Show all

9 papers · 1 filter

cs.SD2022★ 1 cited

Vis2Mus: Exploring Multimodal Representation Mapping for Controllable Music Generation

Runbang Zhang, Yixiao Zhang, Kai Shao +2

In this study, we explore the representation mapping from the domain of visual arts to the domain of music, with which we can use visual arts as an effective handle to control musi…

cs.SD2022

Modeling Perceptual Loudness of Piano Tone: Theory and Applications

Yang Qu, Yutian Qin, Lecheng Chao +3

The relationship between perceptual loudness and physical attributes of sound is an important subject in both computer music and psychoacoustics. Early studies of "equal-loudness c…

cs.SD2022★ 3 cited

Learning Hierarchical Metrical Structure Beyond Measures

Junyan Jiang, Daniel Chin, Yixiao Zhang +1

Music contains hierarchical structures beyond beats and measures. While hierarchical structure annotations are helpful for music information retrieval and computer musicology, such…

cs.SD2022★ 3 cited

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…

cs.SD2022★ 8 cited

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…

cs.SD2022★ 1 cited

AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System

Li Yi, Haochen Hu, Jingwei Zhao +1

We propose AccoMontage2, a system capable of doing full-length song harmonization and accompaniment arrangement based on a lead melody. Following AccoMontage, this study focuses on…

cs.SD2022★ 2 cited

Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model

Yixiao Zhang, Junyan Jiang, Gus Xia +1

Lyric interpretations can help people understand songs and their lyrics quickly, and can also make it easier to manage, retrieve and discover songs efficiently from the growing mas…

cs.SD2022★ 5 cited

Learning long-term music representations via hierarchical contextual constraints

Shiqi Wei, Gus Xia

Learning symbolic music representations, especially disentangled representations with probabilistic interpretations, has been shown to benefit both music understanding and generati…

cs.HC2022★ 2 cited

Sensing the Breath: A Multimodal Singing Tutoring Interface with Breath Guidance

Ziyue Piao, Gus Xia

Breath is a significant component in singing performance, which is still underresearched in most singing-related music interfaces. In this paper, we present a multimodal system tha…