55 citations · 171 across the 38 of their papers we have counts for
3 papers · 1 filter
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data
Kin Wai Cheuk, Dorien Herremans, Li Su
Most of the current supervised automatic music transcription (AMT) models lack the ability to generalize. This means that they have trouble transcribing real-world music recordings…
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
Dimos Makris, Kat R. Agres, Dorien Herremans
The field of automatic music composition has seen great progress in the last few years, much of which can be attributed to advances in deep neural networks. There are numerous stud…
Revisiting the Onsets and Frames Model with Additive Attention
Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos +1
Recent advances in automatic music transcription (AMT) have achieved highly accurate polyphonic piano transcription results by incorporating onset and offset detection. The existin…