21 citations · 52 across the 6 of their papers we have counts for
7 papers
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…
Improving Controllability and Editability for Pretrained Text-to-Music Generation Models
Yixiao Zhang
The field of AI-assisted music creation has made significant strides, yet existing systems often struggle to meet the demands of iterative and nuanced music production. These chall…
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation
Ilaria Manco, Benno Weck, SeungHeon Doh +10
We introduce the Song Describer dataset (SDD), a new crowdsourced corpus of high-quality audio-caption pairs, designed for the evaluation of music-and-language models. The dataset…
Vis2Mus: Exploring Multimodal Representation Mapping for Controllable Music Generation
Runbang Zhang, Yixiao Zhang, Kai Shao +2
In this study, we explore the representation mapping from the domain of visual arts to the domain of music, with which we can use visual arts as an effective handle to control musi…
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…
Learning Interpretable Representation for Controllable Polyphonic Music Generation
Ziyu Wang, Dingsu Wang, Yixiao Zhang +1
While deep generative models have become the leading methods for algorithmic composition, it remains a challenging problem to control the generation process because the latent vari…