5 papers · 1 filter
Dissonance Spectrum explicitly models perceptual frequency interactions for better music understanding
Tianle Wang, Xinyi Tong, Liangke Zhao +7
Conventional music representations describe acoustic energy over time and frequency but do not explicitly expose relations among simultaneous frequency components. We introduce the…
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations
Sirui Zhang, Tianle Wang, Xinyi Tong +8
Music aesthetic assessment is a challenging yet underexplored problem, requiring models to capture fine-grained, multi-dimensional human perceptual judgments. Progress in this area…
Video Echoed in Music: Semantic, Temporal, and Rhythmic Alignment for Video-to-Music Generation
Xinyi Tong, Yiran Zhu, Jishang Chen +9
Video-to-Music generation seeks to generate musically appropriate background music that enhances audiovisual immersion for videos. However, current approaches suffer from two criti…
Discovering "Words" in Music: Unsupervised Learning of Compositional Sparse Code for Symbolic Music
Tianle Wang, Sirui Zhang, Xinyi Tong +12
This paper presents an unsupervised machine learning algorithm that identifies recurring patterns -- referred to as ``music-words'' -- from symbolic music data. These patterns are…
MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music
Yikai Qian, Tianle Wang, Xinyi Tong +6
In addressing the challenge of interpretability and generalizability of artificial music intelligence, this paper introduces a novel symbolic representation that amalgamates both e…