24 citations · 97 across the 31 of their papers we have counts for
3 papers · 1 filter
Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data
Ke Chen, Xingjian Du, Bilei Zhu +3
Deep learning techniques for separating audio into different sound sources face several challenges. Standard architectures require training separate models for different types of a…
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition
Sachinda Edirisooriya, Hao-Wen Dong, Julian McAuley +1
Previous work has shown that neural architectures are able to perform optical music recognition (OMR) on monophonic and homophonic music with high accuracy. However, piano and orch…
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music
Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick +1
Modern keyboards allow a musician to play multiple instruments at the same time by assigning zones -- fixed pitch ranges of the keyboard -- to different instruments. In this paper,…