24 citations · 36 across the 6 of their papers we have counts for
8 papers
Equipping Pretrained Unconditional Music Transformers with Instrument and Genre Controls
Weihan Xu, Julian McAuley, Shlomo Dubnov +1
The ''pretraining-and-finetuning'' paradigm has become a norm for training domain-specific models in natural language processing and computer vision. In this work, we aim to examin…
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments
Ke Chen, Hao-Wen Dong, Yi Luo +4
Choral music separation refers to the task of extracting tracks of voice parts (e.g., soprano, alto, tenor, and bass) from mixed audio. The lack of datasets has impeded research on…
Deep Performer: Score-to-Audio Music Performance Synthesis
Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick +1
Music performance synthesis aims to synthesize a musical score into a natural performance. In this paper, we borrow recent advances in text-to-speech synthesis and present the Deep…
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,…
MusPy: A Toolkit for Symbolic Music Generation
Hao-Wen Dong, Ke Chen, Julian McAuley +1
In this paper, we present MusPy, an open source Python library for symbolic music generation. MusPy provides easy-to-use tools for essential components in a music generation system…