52 citations · 157 across the 11 of their papers we have counts for
11 papers
Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls
Liwei Lin, Gus Xia, Yixiao Zhang +1
Controllable music generation plays a vital role in human-AI music co-creation. While Large Language Models (LLMs) have shown promise in generating high-quality music, their focus…
Content-based Controls For Music Large Language Modeling
Liwei Lin, Gus Xia, Junyan Jiang +1
Recent years have witnessed a rapid growth of large-scale language models in the domain of music audio. Such models enable end-to-end generation of higher-quality music, and some a…
Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controls
Lejun Min, Junyan Jiang, Gus Xia +1
We propose Polyffusion, a diffusion model that generates polyphonic music scores by regarding music as image-like piano roll representations. The model is capable of controllable m…
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…
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…
A Unified Model for Zero-shot Music Source Separation, Transcription and Synthesis
Liwei Lin, Qiuqiang Kong, Junyan Jiang +1
We propose a unified model for three inter-related tasks: 1) to \textit{separate} individual sound sources from a mixed music audio, 2) to \textit{transcribe} each sound source to…