5 citations · 11 across the 4 of their papers we have counts for
5 papers · 1 filter
Automatic Melody Reduction via Shortest Path Finding
Ziyu Wang, Yuxuan Wu, Roger B. Dannenberg +1
Melody reduction, as an abstract representation of musical compositions, serves not only as a tool for music analysis but also as an intermediate representation for structured musi…
Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models
Hanzhi Yin, Gang Cheng, Christian J. Steinmetz +3
We describe a novel approach for developing realistic digital models of dynamic range compressors for digital audio production by analyzing their analog prototypes. While realistic…
ChatMusician: Understanding and Generating Music Intrinsically with LLM
Ruibin Yuan, Hanfeng Lin, Yi Wang +32
While Large Language Models (LLMs) demonstrate impressive capabilities in text generation, we find that their ability has yet to be generalized to music, humanity's creative langua…
Motif-Centric Representation Learning for Symbolic Music
Yuxuan Wu, Roger B. Dannenberg, Gus Xia
Music motif, as a conceptual building block of composition, is crucial for music structure analysis and automatic composition. While human listeners can identify motifs easily, exi…
What is missing in deep music generation? A study of repetition and structure in popular music
Shuqi Dai, Huiran Yu, Roger B. Dannenberg
Structure is one of the most essential aspects of music, and music structure is commonly indicated through repetition. However, the nature of repetition and structure in music is s…