26 citations · 55 across the 8 of their papers we have counts for
5 papers · 1 filter
Shao: Scaling Acoustic Token Language Models Toward High-Fidelity Music Generation
Jiafeng Liu, Yuanliang Dong, Hongjia Liu +8
A common design pattern in high-quality music generation is to handle structure and fidelity in different representation spaces: a generator first models high-level structure, foll…
CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models
Shangda Wu, Yashan Wang, Ruibin Yuan +12
Challenges in managing linguistic diversity and integrating various musical modalities are faced by current music information retrieval systems. These limitations reduce their effe…
Symphony Generation with Permutation Invariant Language Model
Jiafeng Liu, Yuanliang Dong, Zehua Cheng +4
In this work, we propose a permutation invariant language model, SymphonyNet, as a solution for symbolic symphony music generation. We propose a novel Multi-track Multi-instrument…
CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet
Haohe Liu, Qiuqiang Kong, Jiafeng Liu
Music source separation (MSS) shows active progress with deep learning models in recent years. Many MSS models perform separations on spectrograms by estimating bounded ratio masks…
Optimal Embedding Calibration for Symbolic Music Similarity
Xinran Zhang, Maosong Sun, Jiafeng Liu +1
In natural language processing (NLP), the semantic similarity task requires large-scale, high-quality human-annotated labels for fine-tuning or evaluation. By contrast, in cases of…