2 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
MQAD: A Large-Scale Question Answering Dataset for Training Music Large Language Models
Zhihao Ouyang, Ju-Chiang Wang, Daiyu Zhang +3
Question-answering (QA) is a natural approach for humans to understand a piece of music audio. However, for machines, accessing a large-scale dataset covering diverse aspects of mu…
Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis
Yixiao Zhang, Haonan Chen, Ju-Chiang Wang +1
Audio-based music structure analysis (MSA) is an essential task in Music Information Retrieval that remains challenging due to the complexity and variability of musical form. Recen…
Seed-Music: A Unified Framework for High Quality and Controlled Music Generation
Ye Bai, Haonan Chen, Jitong Chen +35
We introduce Seed-Music, a suite of music generation systems capable of producing high-quality music with fine-grained style control. Our unified framework leverages both auto-regr…
StemGen: A music generation model that listens
Julian D. Parker, Janne Spijkervet, Katerina Kosta +6
End-to-end generation of musical audio using deep learning techniques has seen an explosion of activity recently. However, most models concentrate on generating fully mixed music i…