By Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick,Shlomo Dubnov, Mark D Plumbley. Read full publication. Abstract: Universal source separation (USS) is a fundamental research task for computational auditory scene analysis, which aims to separate mono recordings into individual source tracks. There are three potential challenges awaiting the solution to the audio source […]
By Weihan Xu, Julian McAuley, Taylor Berg-Kirkpatrick, Shlomo Dubnov,Hao-Wen Dong ISMIR Late-Breaking Demos, Nov 2024, San Francisco, United States Read full publication. Abstract: Recent years have seen many audio-domain text-to-music generation models that rely on large amounts of text-audio pairs for training. However, similar attempts for symbolic-domain controllable music generation has been hindered due to […]
Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov ICASSP 2022 – 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022, Singapore, France. pp.646-650 Read full publication. Abstract: Audio classification is an important task of mapping audio samples into their corresponding labels. Recently, the transformer model with self-attention […]
Ke Chen, Hao-Wen Dong, Yi Luo, Julian Mcauley, Taylor Berg-Kirkpatrick, Miller Puckette, Shlomo Dubnov Proceedings of the 23rd International Society for Music Information Retrieval Conference, Dec 2022, Bengaluru, India. Read full publication. Abstract: Choral music separation refers to the task of extracting tracks of voice parts (e.g., soprano, alto, tenor, and bass) from mixed audio. […]
Shlomo Dubnov, Ke Chen, Kevin Huang Journal of Creative Music Systems, 2022, 1 Read full publication. Abstract: Generative musical models often comprise of multiple levels of structure, presuming that the process of composition moves between background to foreground, or between generating musical surface and some deeper and reduced representation that governs hidden or latent dimensions […]
Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}, Aug 2023, Jeju, South Korea. pp.7762-7770. Read full publication. Abstract: In this paper we put forward a new approach to music captioning, the task of automatically generating natural language descriptions for songs. These descriptions are useful both for categorization […]
